Month: October 2023

HumanTech's progress update in month 16

As we approach the halfway point of HumanTech, we have taken the chance to ask our team to share the highlights of our latest developments and what our next steps will be.

Here is what ten of the partners involved in our project have told us.

Jason Rambach, HumanTech project coordinator, DFKI

At HumanTech, we are headed for the project half-point and our first review in January. In the last months, we have seen many of our technologies, such as the robotic perception and human interaction, the BIMxD platform and the full Scan2BIM pipeline, starting to take shape, as shown in our exciting demonstrator session in our last General Assembly Meeting in Oslo at the end of August. Currently, we are very excited to start to start work on integrating the technologies into our robotic platform in February 2024.

Meanwhile, we have proven the scientific excellence of our results at the ICCV 2023 conference, the premier event for computer vision internationally, where we presented a publication on Scan2CAD with retrieval and deformation of objects and received 3 awards at the BOP Object Pose Estimation challenge. Our next stop is WACV 2024 in January, where we will present our semantic segmentation work on panoramic images with depth information. In addition, we have started using the Horizon Results Booster service to improve our exploitation perspectives and will develop more user evaluation workshops in the coming months.

Gabor Sziebig, SINTEF

Our work in recent months has been twofold. On the one hand, we have made progress with human-robot collaboration scenarios. We are getting the first results on how construction professionals can use this system — and, later on, on our pilot sites. On the other hand, we have advanced on the overall system integration, where the simulator developed by RPTU is coming alive, and more and more functionalities are accessible. A minor contribution towards BIMxD generation is also worth mentioning, where we are able to refresh and update the algorithms we have developed in previous R&D projects.

Arantxa Renteria, Tecnalia

Regarding our work in wearables, we have defined our use case. We are acquiring signals from our Body Sensor Network from several volunteers to train the database and infer the detection of movements and gestures. We will use this data to develop an algorithm to predict the user's intention and activation of our exoskeleton. The plan is to have a first prototype of this algorithm by January 2024. Future plans include developing the controller for the exoskeleton, integrating components (kinematics information from SciTrack) and tests.

About our work on robot teleoperation and learning by demonstration, we have developed drivers for different elements of the teleoperation console (haptic device, clutch) and a constraint-based admittance teleoperation controller (Force-feedback and Clutchless). We have defined the architecture of control middleware (ROS-control) and started SW developments. There is a first version of the robot platform simulator (UDP, control of the speed of the tracks), and we have integrated the control middleware and the simulator. Our next steps include developing means to enable/disable robot tools, real robot platform CAN driver and ROS node and completion of the control-middleware.

On robotic learning from demonstration, we have implemented an algorithm in a robot simulator with clean signals and a 6D mouse, a learning algorithm in a real robot and the first version of the user-friendly interface, created a signal processing block to homogenize teleoperated data, and developed a robot independent GUI. Our future work involves the 3D manufacturing of the mastic applicator, stabilization of the learning algorithm according to the sensed signals, implementation of artificial potential fields to adapt the generated trajectories to new situations, and extension of the learning algorithms to handle forces.

Finally, we worked on human factors at the beginning of the project by defining questionnaires. We will resume this task when the project validation phase starts.

Anurag Bansal, ACCIONA

In the last period, we visited our partners from DFKI and BAUBOT to discuss our progress and preparations for the Hackathon we have planned for next year in ACCIONA. In addition, we have provided samples of bricks, which we will use during next year's SINTEF and DFKI demonstrations.

On the other hand, we are planning to do two poster presentations at international conferences focused on Innovations in Building & Construction in 2024. We would like to present a poster on Cobots (ACCIONA user case for human-robot collaboration for handing over bricks to masonry worker) and another on Exoskeletons (ACCIONA user case for usage of exoskeletons for assisting workers during lintel placement and other construction activities).

Lastly, we had conversations with different ACCIONA work-site teams and explained to them what HumanTech is about to see if they could provide us with their availability for next year's workshop/focus group.

Patricia Rosen, BAuA

Together with our partners Tecnalia, TUS and ACCIONA, we collected our first user insights about some of our HumanTech technologies. We collected data at three different sites from potential users in the construction industry and were able to gain first results on comparing interactive robots, exoskeletons and extended reality (XR) glasses, for example, in relation to the perceived organisational relevance. Potential users also shared their expectations about the different technologies, as well as foreseen risks and opportunities, with us. The description of our procedure, analysis and results are part of our deliverable on 'Worker Assessment Report'.

We are currently planning additional user assessments with specific target groups and evaluating our technologies more in-depth. We are looking forward to completing the human perspective with valuable information provided by different employees.

Based on the results we gathered, we submitted an abstract to the annual German Human Factors conference in the spring of 2024.

Hideaki Kanayama, Ricoh Europe

We are currently advancing in two areas:

Spherical camera prototype
We have been developing a compact spherical camera with a wide field of view of 360 degrees and hardware-based trigger input for seamless integration with the body sensor network.

The camera mounted on the helmet captures an ego-centric view of the worker, and its pose is estimated with an image-based machine-learning algorithm. The estimated pose compensates the drifting error of IMU-based pose that is caused by the electromagnetic field in the environment, which achieves more accurate pose estimation. Furthermore, this camera will be used in forthcoming tasks with other partners. I.e., the cameras are mounted on the UGV with stereo settings and exploited for real-time advanced perception and human safety, such as workers’ 3D pose and position estimation with a wide field of view.

Development of 3D integration algorithm for multi-sensor data
At Ricoh, we are developing a spherical RGB-depth scanner that can capture a 5 m space with a 360° field of view within 1 s. The device is handheld and portable, allowing it to scan areas where automated mobility cannot enter.

At HumanTech, our scans are aligned and integrated with wide-area 3D data acquired by UGV/UAV to create a complete digital twin. We have developed an image-based localization that combines Sfm (Structure from Motion) and RGBD-SLAM (Simultaneous Localization and Mapping), which enables the alignment among all of the multiple sensors that can acquire a spherical RGB image. While this technology has been developed for static scenes, the next step is to develop a daily update algorithm for scenes in actual construction sites.

Sebastian Mattes, Implenia

Implenia, as a construction company, represents the end user’s point of view: How can the solutions we are developing be used, which requirements and framework conditions should be observed, and what does a real construction site look like? Our approach is to go directly on-site as early as possible to check if our thoughts are correct.

In the last months, we have been involved in preparations for our bridge inspection pilot. Regarding progress management, continuous scan recordings are being done on a site in Germany. As for the training of the AI algorithms, there is a need for more data also from a different project. We are checking out which project would fit best and is also reachable for our partners to collect weekly or biweekly scans. Meanwhile, several aspects to take care of came up with the first project.

• Data privacy: How to avoid capturing persons? How do we remove them from our data?
• Darkness: As the days get shorter in winter, the daylight hours after the normal end time of projects become less. Sometimes, we would like to have a coloured scan or use the data otherwise, but as they are based on photos captured by the scanner, they aren’t useful in dark environments — even if it doesn’t matter for the point cloud and captured geometry.

Our next steps are mainly:

• To organize access to the next scanning project
• To give feedback on the realistic use of the developed use cases
• (Perhaps) To evaluate and give input on training data for worker

Michael König, STRUCINSPECT

We are currently working on finalising our process for the bridge inspection pilot and are doing the first test with data we received from ZHAW. A big challenge is still in the BIM integration of standards that will be handled together with the University of Padova and Catenda. We are also involved in the point cloud segmentation and BIM reconstruction pipeline.

Florendia Fourli, Hypercliq

At Hypercliq, we have collaborated closely with our partners to examine the components of the HumanTech system and how they interact. We have pinpointed the necessary interfaces between humans, software, robots, and wearables and started defining the interoperability modules to facilitate their operation.

Additionally, to align our efforts with the EU's Data strategy, we have conducted a comprehensive review of the current state of relevant initiatives at the European level. These initiatives have resulted in reference architectures, as well as completed or ongoing European R&D projects that address the construction sector's needs. We specifically focused on their approaches to system architecture or the frameworks they've established or followed.

Building on the insights gained from these activities, we have developed the initial version of the HumanTech System Architecture. This serves as the foundation for further technical advancements, with the goal of providing HumanTech systems as components that can function independently or as part of an integrated solution. Finally, we have supported and documented the definition of the HumanTech use cases to be used as the basis for implementing the HumanTech pilots.

Elena Petrich, European Builders Confederation (EBC)

During the project's first year, we provided feedback on the usability of technology, started discussing an SME-friendly training programme and supported the project’s developments through effective dissemination through its network.

EBC is currently envisaging, in cooperation with its French member CAPEB, a workshop targeting women in construction with the primary objective of gathering comments and observations from construction professionals on the human-centred technologies currently being developed by HumanTech.

As HumanTech progresses, EBC will play a role in the objectives of training, marketing, and sharing information on innovation among construction SMEs, the whole construction value chain and policymakers.

Learn more about our project and subscribe to our newsletter to keep updated with our progress!

by andrea@australo.org

Unlocking the future of research: Irati Rasines, PhD student at the University of the Basque Country and Tecnalia

For the fourth edition of our series ‘Unlocking the future of research’, we have spoken with Irati Rasines, a PhD student at the University of the Basque Country and our partner Tecnalia, a leading private research and technology organisation in Spain.

Learn about her research, focused on developing solutions for easy Robot Learning from Demonstration and partially funded by HumanTech.

My study focuses on enabling robots to learn from human operators based on a few demonstrations performed via teleoperation.

Robot LfD (Learning from Demonstration) presents a great opportunity to enhance learning efficiency by bridging the gap between human expertise and automated machinery.

Through teleoperation, skilled operators can impart their knowledge directly to robots in real-time, rapidly acquiring complex tasks. This direct transfer of expertise ensures that robots learn from the most experienced sources, providing them with a substantial advantage in terms of skill acquisition and refinement.

Robot LfD in construction: Revolutionising safety protocols

The implications for the construction industry are profound, with robots poised to swiftly adapt to new tasks and scenarios, significantly reducing training times and enhancing project execution. In fact, one of the most compelling aspects of LfD in the industry is its potential to revolutionize safety protocols. By allowing robots to learn from skilled operators, we can delegate potentially hazardous to automated systems, minimizing human exposure to dangerous environments.

"One of the most compelling aspects of Robot LfD (Learning from Demonstration) in construction is its potential to revolutionize safety protocols."

Balancing a dual role: A PhD and professional career

Sharing a common research line between a PhD and a European project offers a multitude of benefits that synergistically amplify the impact and efficacy of both endeavours. As the collective effort of a team to achieve a goal enables it to generate innovative solutions that may not have appeared when one is working on an individual problem. But on the other hand, balancing the roles of a full-time worker and a PhD student is undeniably demanding.

"Striking a harmonious equilibrium between the demands of a professional career and the rigorous academic pursuits of a PhD program is a constant challenge."

The dual responsibilities require a meticulous juggling act, as both worlds demand significant time, energy, and intellectual commitment.

Despite the considerable challenges, this dual role also provides unique benefits. It offers practical insights and real-world context that can enrich academic pursuits,  while academic rigour fosters analytical thinking and problem-solving skills that can be directly applied in a professional setting.

Read the third edition of our #FutureofResearch series with Harsh Manoj Shah, a master's student at the Technical University of Munich and a working student at our partner organisation Holo-Light GmbH.

Subscribe to our newsletter and follow us on LinkedIn and Twitter to learn more about our advances.

by andrea@australo.org

User-centered development: Evaluating HumanTech technologies for a safer, greener construction

Through our work in the field of human factors, usability training and evaluation, we are creating and delivering educational resources aimed at contributing to improving the health, safety and green skills in construction. Our ultimate goal is to make the sector more attractive — especially for young blue-collar workers, women, and students in technical colleges and universities. In addition, to evaluate the human factors involved in using our HumanTech technologies, from worker assessment to safety, health and ethical issues.

One of our tasks at HumanTech is to identify the users' needs at an early stage and incorporate them into our design process.

In this article, we share our work on assessing workers' technology acceptance, with which we want to provide a sequential and continuous evaluation of our HumanTech wearables system and human-robot interactions (part of the tasks belonging to our Work Package 6).

Why does worker assessment play a key role in HumanTech?

Advanced technology such as exoskeletons, smart glasses and wearable sensors can significantly impact workers’ behaviour. Similarly, using collaborative robots on construction sites is a considerable challenge.

Although technologies are designed to help workers, they can have the opposite effect in the work environment, especially when different technologies are combined. Workers may feel monitored, restricted in their movements or stressed by information overload. And a good working environment must pay special attention to the workers' needs.

With this in mind, our partners at the Technological University of the Shannon (TUS), as Work Package 6 leaders, BAUA and Tecnalia, evaluated different HumanTech technologies, focusing on user requirements, acceptance and usability.

They then presented their findings to construction workers during several workshops/focus groups. In doing so, they used the design thinking approach — the user-centred approach to innovation, which draws on the designer's toolkit to integrate people's needs, technology possibilities and requirements for business success.

Involving users from the start is essential for us to develop human-centred technologies, one of the pillars of our research activities. We do this through a co-creation methodology to ensure we integrate our results to build a greener, more efficient and safer construction industry.

The HumanTech technologies we have evaluated for the workers' assessment

1. Exoskeleton
2. Interactive robots
3. Extended reality (XR) glasses

After collecting our conclusions, we presented them in three workshops/focus groups in Spain and Ireland, organised by different organisations in our HumanTech team.

1st focus group: 16th May 2023

• Organising partner: ACCIONA.
• Location: Alicante (Spain). CEIP (Center of Early Childhood and Primary Education) La Pau.

2nd focus group: 15th June 2023

• Organising partner: ACCIONA.
• Location: San Sebastián (Spain). New Penitentiary Center of San Sebastián.

3rd focus group: 23rd June 2023

• Organising partner: Technological University of the Shannon (TUS).
• Location: Limerick (Ireland). Limerick and Clare Education and Training Board (LCETB)

Who were the participants in our focus groups?

One of the first activities we carried out to organise the focus groups was identifying which functions and people from the construction environment should be involved and what level of influence they should have.

We then identified three relevant stakeholders for HumanTech, which were present in all our focus groups:

• Apprentices
• Workers
• Supervisors (site responsible person, engineer or OSH manager)

For us, it was essential to ensure the participants belonged to these construction target groups.

As we presented in a previous work (the results of which are not yet public), we provided a sociodemographic characterisation of construction workers based on a survey of German employees. Our analysis shows that the majority of the workers are men and are between 50 and 60 years old.

At HumanTech, we aim to broaden our user group's typical profile. Therefore, we looked for participants of all genders and ages.

We recruited them through partners participating in the sessions. Participation was voluntary and took place during regular working/training hours.

The table below describes the sociodemographic measures for all participants of the three workshops.

What were the results?

We asked participants about the task changes, benefits and challenges they expected from using our technologies in the short and long term.

Most of their answers indicate a positive view towards their use and that they expect a reduction of physical strain and improvements in efficiency and handling of repetitive and dangerous tasks.

However, some participants expressed concerns about the suitability of these technologies for certain tasks, as well as issues related to maintenance, reliability and worker perception and acceptance.

Regarding the use of interactive robots, participants expect improvements in health by reducing injuries and physical workload, especially in the long term.

As for exoskeletons, they see benefits in injury prevention and specific applications for certain tasks. Challenges include concerns about comfort and mobility, unstructured environments, safety and physical health, maintenance and reliability, worker perception and acceptance, economic factors, and the need for training.

For XR glasses, participants see benefits in worker training, learning, and skill development, as well as specific applications for prototyping and design and planning phases. Challenges include technical issues, health and safety concerns, and worker perception and acceptance. Overall, participants named challenges more nuanced than benefits, with concerns about suitability for certain tasks, maintenance, reliability, and worker perception and acceptance being common themes.

Workers' expectations and concerns

In conclusion, most workers have a positive view of these technologies, and many expect them to improve their efficiency, reduce physical strain, and protect their health by handling repetitive and dangerous tasks.

However, some are concerned about their suitability for certain activities and issues related to their battery life, maintenance, worker acceptance or using them in unstructured environments and difficult terrains.

In addition, it is important to consider the principles of interaction with these technologies, as experienced and inexperienced users have different expectations towards them.

More experienced workers have higher expectations of the interaction principles of innovative technologies, particularly in terms of suitability for the task and self-descriptiveness. This may be due to previous experience in technology-driven development or implementation processes of a new system, which could have had negative consequences such as frustration or additional mental workload.

Find out more about our project and technologies, and subscribe to our newsletter to keep updated with our progress!

by andrea@australo.org

Jason Rambach: At HumanTech, we are tackling the challenges of EU construction with innovation

At HumanTech, we are creating groundbreaking solutions to build a better future for the EU construction industry. In the second part of our interview with Jason Rambach, HumanTech's Project Coordinator, he shares insights into our journey addressing the sector challenges head-on, with automation and digitalisation as the main driving forces.

Watch Jason's interview here:

https://youtu.be/piHfTxdriJ4

How are we addressing the main challenges facing the EU construction sector?

Jason reflects on how we are tackling some of the most challenging issues currently facing the European construction sector, such as the slow adoption of technology, a shortage of skilled workers, concerns regarding safety and productivity, and an inefficient use of resources.

We are doing so by developing a groundbreaking human-centred construction automation model. In particular, by creating robotic devices geared to protect and support construction workers, making their work easier, safer and more appealing to a new generation of professionals. Also, by advancing in the digitalisation of the whole construction process. For example, using a new breed of Dynamic Semantic Digital Twins (DSDTs) to gather information on every step, providing real-time progress monitoring and preventing costly errors.

What are the most important results we have achieved so far?

In this initial phase of HumanTech, we have focused on developing the technologies that we will later integrate into systems that will be applied on the construction site. Even so, we have already achieved our first promising results.

For example, in terms of our scientific excellence, we have published several papers in leading journals and conferences, as well as participated and won prizes in technical challenges in the field of computer vision. We have also conducted our first round of user evaluations in Ireland and Spain. In it, we have gathered the views of different professionals in the sector on our technologies, which we will take into account to improve and adapt them to their needs.

What are our next steps?

We are now starting a second phase of integration of results that will bring complete systems into view. "We have already seen this in our Scan to BIM pipeline, which will be used for construction monitoring", Jason remarks. "The same goes for robotics, where we have created perception systems that will soon be integrated into a robotic platform, ready to assist workers on construction sites."

We will keep advancing our innovations to continue the journey towards a safer, greener, more digital future for the EU construction ecosystem. Are you coming with us?

Watch the first part of this interview with Jason Rambach to learn more about HumanTech’s focus and our solutions to address construction workers’ safety and well-being, as well as environmental sustainability and efficiency in the building sector.

by andrea@australo.org

Unlocking the future of research: Harsh Manoj Shah, master's student at the Technical University of Munich

Our series 'Unlocking the future of research' third edition features Harsh Manoj Shah, a master's degree student in management, specialising in technology and innovation at the Technical University of Munich. Since June 2022, he has been a working student at Holo-Light GmbH, one of our partner organisations at HumanTech.

Meet Harsh:

I am Harsh Manoj Shah, currently pursuing a master's degree in management, specialising in technology and innovation at the Technical University of Munich (TUM). Since June 2022, I have been working as a werkstudent (working student) at Holo-Light GmbH within its Research team.

My academic journey began with a Bachelor's in Mechanical Engineering. Subsequently, I embarked on my professional career by joining WS Atkins (now known as AtkinsRéalis), a renowned engineering, design and project management consultancy firm.

Within the Building Design vertical, I served as a Building Services Engineer. In this capacity, I specialised in designing energy-efficient Mechanical, Electrical and Public Health (MEP) systems while adhering to energy compliance standards such as LEED and BREEAM. My work involved delivering sustainable design solutions for green buildings.

Later, I transitioned into the role of a Digital Developer, where I led the development of innovative software solutions tailored to various aspects of the infrastructure industry. These solutions encompassed 3D Modelling, Building Information Modelling (BIM), Infrastructure Digital Twin (iTwin), and Project Management.

As a developer, I undertook research and development projects, including parametric modelling of infrastructure utilities and the transformation of BIM into a semantic graph representation for sustainability and energy analytics, a crucial aspect of iTwin development. These experiences broadened my understanding of emerging technology adoption in the Architecture, Engineering, and Construction (AEC) ecosystem.

With a technical background and experience as a software developer, I harboured a desire to transition into management. In 2021, I decided to pursue a business degree in Munich, Germany. During my academic journey, I seized the opportunity to work with Holo-Light, an emerging XR tech startup.

Currently, I am working on my master's thesis, a collaborative effort involving Holo-Light and the Chair of Entrepreneurship Management at TUM. It is centred around Extended Reality (XR) adoption within industrial firms and its profound impact on value creation and customer experience.

"My thesis is centred around Extended Reality (XR) adoption within industrial firms and its profound impact on value creation and customer experience."

My role at Holo-Light encompasses business development, where my team and I actively seek research project opportunities and explore innovative avenues using frameworks like Horizon Europe. Additionally, I am deeply involved in technical integration and coordination, contributing to the design of tech architecture and interfaces for various research projects.

One of my significant assignments at Holo-Light was to support project management and technology integration for the HumanTech project. Personally, I found the HumanTech project incredibly intriguing, aligning seamlessly with my previous experience in building design.

"One of my significant assignments at Holo-Light was to support project management and technology integration for the HumanTech project."

Thanks to my background, I swiftly grasped the project's scope and objectives. Understanding the application of technologies within the construction industry came naturally to me.

The HumanTech project has played a pivotal role in my thesis research, enabling me to understand the rationale behind XR utilisation, the strategies employed to incorporate Augmented Reality (AR) into the project, the challenges faced during AR implementation, and the potential advantages of AR adoption. These insights will significantly contribute to my research and the development of a process model for XR adoption within industrial firms.

The use cases within the HumanTech project are profoundly relevant and address critical industry gaps. For instance, in the realm of visualisation, technicians had traditionally relied on CAD drawings for review. However, HumanTech showcases how AR can revolutionise the visualisation of BIM models, streamlining comprehension and decision-making processes.

"The use cases within the HumanTech project are profoundly relevant and address critical industry gaps".

The project also explores the utilisation of drones, robots, and body exoskeletons to enhance the efficiency and outcomes of construction industry workers, adding an extra layer of innovation to the mix.

My engagement with a European Union (EU) funded research project like HumanTech has been immensely rewarding. Collaborating with brilliant minds and actively contributing to the success of the HumanTech project has been an enlightening experience.

EU projects such as HumanTech resonate with the spirit of entrepreneurial ventures, where innovative ideas are nurtured, and prototypes are brought to fruition through collaborative efforts across multiple organisations.

Each team member plays a pivotal role in aspects ranging from marketing and exploitation to budgeting, innovation, technology, and development. Being a part of this dynamic process has been incredibly enriching and fulfilling!

Take a look at the second edition of our series with Mahdi Chamseddine, PhD student at RTPU Kaiserslautern.

Subscribe to our newsletter and follow us on LinkedIn and Twitter to learn more about our advances!

by andrea@australo.org

Unlocking the future of research: Mahdi Chamseddine, PhD student at RTPU Kaiserslautern

Our series 'Unlocking the future of research' is coming to its second release. In this editorial, our colleague Mahdi Chamseddine, a PhD student at RTPU Kaiserslautern working in the Augmented Vision department of the German Research Center for Artificial Intelligence (DFKI), tells us about his research focus and experience working at HumanTech.

Meet Mahdi:

My research focuses on deep learning for sensor data processing and scene understanding, specifically using radar and lidar sensors. When I learned about the HumanTech project, I was intrigued. It was a new topic for me and my first time participating in a European project.

"My research focuses on deep learning for sensor data processing and scene understanding, specifically using radar and lidar sensors."

In HumanTech, my primary role is centred around the semantic segmentation of point clouds, which was both an opportunity and a challenge for me. Delving into this new topic and navigating the construction field presented its own challenges. I had to familiarize myself with new terminologies and align my work with the unique requirements of the construction domain. While this was a departure from my previous work, my experience in research was an asset as I've often navigated the waters of new topics. This project was no exception — it reaffirmed that research is a continuous learning journey.

A standout moment during my time on the project was achieving 3rd place in the 2023 CV4AEC challenge. This accomplishment was a testament to our team's hard work and its importance.

"Achieving 3rd place in the 2023 CV4AEC challenge was a testament to our team's hard work and its importance."

At first glance, the project seemed like a departure from the core of my PhD research. The nuances of working on deep learning in the context of construction certainly presented a different facet of the field. However, this shift in focus became an unexpected boon. It introduced fresh perspectives and offered interesting angles from which to approach my PhD research. It pushed me to formulate my ideas with more clarity, bridging the gap between seemingly disparate areas and creating a cohesive narrative that intertwined my work on HumanTech with my broader research goals.

The HumanTech project, a collaboration across multiple institutes, expanded my professional network significantly, helped me gain invaluable knowledge, and honed my skills in interdisciplinary collaboration. These experiences and the connections I have made have set the foundation for future opportunities and collaborations in my career.

"The HumanTech project expanded my professional network significantly, helped me gain invaluable knowledge, and honed my skills in interdisciplinary collaboration."

It has been an unexpected journey thus far, and I feel constantly challenged to improve and learn both professionally and personally. It is exciting to take part in shaping the future of construction!

Take a look at the first edition of our series with Chiara Zarna, research scientist at SINTEF.

Subscribe to our newsletter and follow us on LinkedIn and Twitter to learn more about our advances!

by andrea@australo.org