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ARTICLE: Collaborative Robotics in Japan 

 

By Dr Sheila Sutjipto

Last year, Professor Teresa Vidal-Calleja and I travelled to Japan primarily for a focused research collaboration at the Tokyo University of Science (TUS). While our joint work at TUS constituted the core of the trip, Teresa also took the opportunity to visit and deliver talks at several other leading research institutions across the country. This opportunity provided a comprehensive look at the broader Japanese robotics landscape, spanning space exploration, disaster recovery, social robotics, and human-robot interaction. 

A Landscape of Service and Innovation in Robotics Research 

A recurring theme across the institutions Teresa visited was the development of service and assistive robots designed to support human society. At Tohoku University, the Smart Robotics Design Lab is developing human-assist robots for caregiving and healthcare to support an aging population. Similarly, the Nara Institute of Science and Technology (NAIST) focuses on integrating machine learning and artificial to advance human-robot collaboration in real world applications. 

Figure: A robotic system designed for service robotics by the Smart Robot Design Lab in Tohoku University. It is trained to manipulate a deformable object like a t-shirt addressing housework tasks.
Figure: A humanoid learning to navigate environments with obstacles at the Neuro-Robotics lab in Tohoku University 
Figure: Companion robots used as a research platform for Human-Robot Interaction by the Smart Robot Design Lab at Tohoku University 
Figure: A robotic system designed by researchers from the Robot Learning lab at NAIST. It is designed to perform automated grinding of workpieces. 

 

The applications she encountered were highly diverse. Her visits included the Institute of Science – Tokyo’s Robotics and AI Laboratory, which focuses on robot audition and environment understanding, as well as Hokkaido University, where they address research in automated infrastructure inspection and autonomous driving for snowy environments.

Additionally at Tohoku University, she observed autonomous systems and sensing units designed for extreme conditions at the Tough Robotics Lab and extraterrestrial exploration at the Space Robotics Lab. Teresa also attended The International Conference on Space Robotics (ISpaRo 2025) whilst in in Sendai. This event brought together aerospace experts, academia, and industry professionals to discuss innovations in space exploration. 

Figure: Sensing units designed for dogs working in search and rescue 
Figure: A test environment at the Space Robotics Laboratory at Tohoku University
Figure: Full scale model of the JAXA Kibo ISS Module showcased at ISpaRo 

 

These visits and talks provided valuable insights into the scope and societal focus of Japan’s robotics ecosystem, highlighting the diverse platforms currently being developed by researchers across Japan. 

 The TUS Collaboration: Merging Perception with Human-Centric RL 

The primary research component of this trip was our collaboration with the Interactive Robotics Lab (Yoshida Lab) at TUS. TUS aims to make robots more intelligent by understanding human behaviour, utilising digital twins to simulate environments and humanoid robots to validate theories of natural motion. 

Figure: Two robotic platforms used for research at the Interactive Robotics Lab at TUS. Left: The Kaleido humanoid attached with tactile skin sensors. Right: Dual arm industrial robot

 

Our research streams are complementary where TUS has directed their research toward human-centric robotics, human-understanding and machine learning, and the team at the Australian Cobotics Centre focuses on cobots, perception, and how to intelligently construct and utilise representations of the environment. Our shared goal was to integrate our proposed research directly into TUS’s frameworks to create smarter, more efficient robot behaviours. 

During our time in the lab, we focused on three interconnected challenges in cobot manipulation: 

First, we looked at spatial awareness. We wanted to explore how continuous geometric information, specifically EDFs could be integrated directly into learning frameworks to give robots a better understanding of their environment and bridge the gap between simulation and reality. 

Second, we addressed the complexity of redundant manipulators. When a robot has an infinite number of ways to move its arm to reach a target, calculating the most efficient, collision-free path is computationally expensive. We wanted to explore a better way to map these possibilities and find a suitable trajectory. 

Finally, we challenged the traditional approach to clutter. Standard perception systems treat obstacles as strict “no-go” zones. However, humans use the natural redundancy of their arms to gently push minor obstacles aside while reaching for a goal. We aimed to apply this physical intuition to cobots, allowing them to safely interact with their environment rather than simply avoiding it. 

Outcomes 

This collaboration established an ongoing research pipeline between our institutions, resulting in three joint publications that advance cobot planning and motion: 

Bridging the Sim-to-Real Gap (International Conference on Intelligent Robots and Systems, IROS): We developed an RL framework that uses Euclidean Distance Fields (EDF) directly as the robot’s observation space. This gives the agent continuous geometric information about its environment, allowing for “zero-shot” transfer from simulation to a physical 7-DoF redundant manipulator. The real robot successfully generalised to unseen environments and avoided dynamic obstacles in real-time, despite being trained only on static objects. 

Figure: A robot with surrounding obstacles (green balls). Using the camera on the left of the setup, a visualisation of the environment is generated where warmer colours indicate proximity to an obstacle 

 

Leveraging redundancy (Robotics: Science and Systems, RSS): We explored methods for leveraging manipulator redundancy to execute complex paths. Using efficient null-space sampling, we mapped the configuration space manifold for specific trajectories in the task space. This enabled us to create a distance field in configuration space, providing the robot with a highly efficient way to calculate collision-free trajectories. 

Figure: This image shows the infinite number of arm configurations the robot can be in whilst maintaining the same tool location and orientation.  

Whole-Arm Safe Push and Place: In a forthcoming journal publication, we propose an alternative to strict obstacle avoidance. We designed a system that allows a cobot to hold an object in its end-effector while using its intermediate arm links to push obstacles out of the way. By using environmental information from the EDF with tactile feedback and enabling the robot to dynamically adjust its task speed during contacts, the robot can safely clear its own path, mimicking human behaviour. 

Figure: A robot using its elbow and forearm to push a box out of its way so it can complete its designated task. 

 

Looking Ahead 

These outcomes highlight the value of international collaboration. By combining TUS’s expertise in RL and human-centric robotics with our focus on perception and cobots, we addressed complex challenges that would be difficult to solve independently. The insights and frameworks developed during this trip continue to inform our ongoing research at the Australian Cobotics Centre. 

France24 Article – AI robot cleaners leave the lab for China’s living rooms

Great to see Dr Valeria Macalupú featured in this recent FRANCE 24 article on AI robot cleaners moving into everyday homes.

As a postdoctoral researcher in our Human-Robot Interaction program, Valeria brings deep expertise in social and care robotics, helping us understand not just what robots can do, but how people experience and trust them in real-world settings.

Her inclusion in this article highlights the growing importance of human-centred design as robots move beyond the lab and into daily life.

READ THE ARTICLE

The Conversation article: Flying taxis and delivery drones could soon crowd city skies. What happens when they fail?

Centre Director Professor Jon Roberts recently co-authored an article in The Conversation with QUT Centre for Robotics Chief Investigator Professor Luis Mejias, examining the challenges that can lead to drone failures—prompted by a recent incident at Sydney’s Vivid Festival.

The article explores the technical, environmental and operational factors that can affect drone performance in complex, real-world settings, particularly during large-scale public events. It also highlights the importance of robust system design, risk management, and regulatory oversight as drone use continues to expand.

This contribution reflects the Centre’s expertise in autonomous systems and its role in informing public understanding of emerging robotics technologies.

Read the article: Flying taxis and delivery drones could soon crowd city skies. What happens when they fail?

Human-Robot Collaboration Is More Than a Human and a Robot 

Written by PhD Researcher, Jasper Vermeulen, Designing Socio-Technical Robotic Systems program.

When people think about Human-Robot Collaboration, they often imagine a worker and a robot side by side, completing a task together. This image has shaped much of the discussion around collaborative robotics. It is simple, compelling, and often useful.

However, new research suggests that this picture may be incomplete.

In practice, successful Human-Robot Collaboration rarely depends on the worker and robot alone. It is often made possible by a wider network of people who configure, supervise, maintain, troubleshoot, adapt, and support the robotic system over its lifetime. While attention naturally focuses on the person closest to the robot, collaboration is often sustained by many others whose work is less visible but equally important.

In this sense, Human-Robot Collaboration is not only about how humans and robots work together. It is also about how people work together around robots.

Moving Beyond the Human-Robot Pair 

Collaborative robots, or cobots, are often introduced with the promise of combining the strengths of humans and machines. Humans contribute flexibility, judgement, and problem-solving capabilities, while robots contribute precision, consistency, and ergonomic support.

This vision has been enormously valuable in advancing collaborative robotics. Yet it can also encourage us to focus primarily on the interaction between a single worker and a single robot.

Real workplaces are rarely that simple.

In manufacturing environments, successful cobot deployments often involve operators, supervisors, technicians, engineers, safety specialists, and system integrators. While these individuals may not always work directly alongside the robot, they play important roles in enabling effective collaboration.

The result is that Human-Robot Collaboration is often still dependent on Human-Human Collaboration.

The People Behind the Robot 

Consider what happens when a cobot is introduced into a production environment.

Someone needs to configure and integrate the system. Someone needs to train workers. Someone needs to monitor performance, troubleshoot problems, and adapt workflows when unexpected situations arise. As production requirements evolve, someone must ensure that the robot continues to support organisational goals while remaining useful to workers.

These contributions are essential, yet they often receive far less attention than the technology itself.

In many organisations, individuals naturally emerge who help bridge the gap between human work practices and robotic capabilities. They may be engineers, technicians, supervisors, or experienced operators. Informally, they often become what some practitioners call “robot wranglers”: people who help make collaboration work in practice.

Their work matters because collaborative robots do not enter workplaces as isolated technical tools. They become part of existing routines, responsibilities, relationships, and constraints. Making them work well requires more than programming the robot. It requires ongoing coordination between people.

Designing for Teams, Not Just Isolated Users 

Industry 5.0 makes this explicit: technology should be designed around people, not the other way around. This shift recognises that successful technology adoption depends not only on technical performance but also on human experience and organisational context.

Collaborative robotics should therefore not be viewed solely as a relationship between a worker and a robot. Instead, it should be understood as part of a broader socio-technical system involving multiple people, shared responsibilities, and coordinated expertise.

This has important implications for organisations considering cobot adoption. Investing in robotic technology is only one part of the equation. Equally important is investing in the people who support, maintain, adapt, and champion that technology over time.

This also matters for design. If collaborative robots are part of team-based work, then future systems may need to support more than the immediate operator. They may need to make system status clearer to supervisors, troubleshooting easier for technicians, handovers smoother between workers, and adaptation more accessible to the people responsible for keeping production moving.

What’s Next? 

As robots become increasingly common across manufacturing and other industries, we may need to rethink how we define collaboration itself.

Rather than asking only how a human and a robot can work together, perhaps we should also ask how teams of people work together around a robot.

This raises several important questions:

  • Who are the hidden contributors supporting Human-Robot Collaboration within your organisation?
  • Are organisations investing enough in the people who help make cobot deployments successful?
  • How might future robotic systems be designed to support entire teams rather than individual users?

After all, the future of collaborative robotics may not be about replacing human expertise. It may be about understanding how robotic technologies become part of successful human teams.

Human-Robot Collaboration may begin with a human and a robot, but it succeeds through the people who make that collaboration possible.

 

 

 

ICRA 2026 in review

ICRA 2026: Showcasing Impact on the Global Robotics Stage

Researchers from the Australian Cobotics Centre and its partner institutions made a strong contribution to the IEEE International Conference on Robotics and Automation (ICRA) 2026, held in Vienna—one of the world’s leading forums for robotics research.

Across the week, Centre researchers presented work spanning healthcare robotics, advanced manufacturing, and real-time perception, highlighting both technical innovation and real-world application.

Advancing robotic healthcare

A key contribution came from Mariadas Capsran Roshan (Swinburne University of Technology), who presented the paper “Finding an Initial Probe Pose in Teleoperated Robotic Echocardiography via 2D LiDAR-Based 3D Reconstruction”, co-authored with Edgar Mauricio Hidalgo, Mats Isaksson, Michelle Dunn, and Jagannatha Charjee Pyaraka.

The research explores how a robot-mounted 2D LiDAR sensor can reconstruct a patient’s chest surface in 3D and automatically estimate an initial ultrasound probe position. This approach has the potential to streamline teleoperated cardiac imaging—reducing setup time and supporting more efficient remote diagnostics, particularly in settings where specialist access is limited.

Improving precision in robotic manufacturing

From the QUT Centre for Robotics, Zongyuan Zhang presented “Acoustic Feedback for Closed-Loop Force Control in Robotic Grinding”, alongside co-authors Christopher Lehnert, Will Browne, and Jonathan Roberts.

This work introduces a low-cost alternative to traditional force sensing in robotic grinding, using acoustic feedback to maintain stable and consistent material removal. By significantly reducing hardware requirements while preserving performance, the research offers a pathway to more accessible and scalable automation for industry.

Real-time perception and tracking

In another contribution, Lan Wu, Sheila Sutjipto, Jennifer Wakulicz, and Teresa Vidal Calleja presented “DisFlow: Scene Flow from Distance Field for Object Pose, Velocity Tracking, and Surface Reconstruction.”

This research advances real-time scene understanding, enabling robots to simultaneously track object pose, motion, and surface geometry. Such capabilities are critical for robots operating in dynamic, unstructured environments, where accurate perception underpins safe and effective interaction.

Leadership and global engagement

Beyond paper presentations, Professor Teresa Vidal Calleja contributed as a keynote speaker at the Workshop on Long-term Deployments in the Wild (LoWi): Perception, Learning, and Navigation, sharing insights into the challenges and opportunities of deploying robotic systems outside controlled lab environments.

ICRA also provided a valuable platform for collaboration and connection. Researchers engaged with peers from academia and industry, strengthened existing partnerships, and explored leading robotics laboratories at TU Wien. These interactions continue to play a vital role in translating research into real-world impact.

A growing international presence

The Centre’s presence at ICRA 2026 reflects the breadth and depth of its research, spanning human-centred robotics, industrial automation, and intelligent perception systems.

By contributing to one of the most prestigious conferences in the field, these researchers are not only advancing their respective domains but also strengthening Australia’s position in the global robotics ecosystem.

As collaborations deepen and new opportunities emerge, the momentum from ICRA 2026 will continue to shape the next phase of research and innovation across the Centre and its partners.

ARTICLE: The Humanoid Moment 

Written by Dr. Katia Bourahmoune, Acting Co-Lead, Quality Assurance & Compliance program. 

In April 2026, a humanoid robot crossed the finish line of a Beijing half-marathon in fifty minutes and twenty-six seconds, faster than any human being has ever run that distance [1]. Months earlier, humanoid robots had performed incredibly complex, synchronized martial arts routines [2]. As the media coverage gained widespread attention, something more interesting than this engineering achievement emerged: a question, not yet fully formed, about what kind of world we are now entering, and whether we are entering it with our eyes open. 

The choice to build robots in the human form is sometimes caricatured as a vanity of engineers or a concession to popular culture and science-fiction media, however, its philosophical wager is of considerable depth. The world into which these machines are being released (its factories, hospitals, construction sites, and even homes) was designed for users that stand upright, use two hands, and react dynamically to the world around them. 

Traditional forms of industrial and collaborative robots were built for tasks in bounded environments, e.g. a wheeled platform optimised for a warehouse floor or an articulated arm for a single weld point on an assembly line. A humanoid robot carries an inherent optimism about general physical intelligence: the bet, or perhaps ambition, that a machine capable of inhabiting the full texture of human environments can in time respond to the full texture of human need. The ancient concept of Ziran in classical Chinese thought illuminates what the designers in this field are reaching toward. Ziran is often rendered as naturalness, or the disposition of things to accord with their own nature [3]. In the context of robotics, this can be found in the idea of building machines that fit the world as it is, rather than demanding the world be remade to fit the machine. 

Humanoid robots are now operating in production environments and shipping in volumes that would have seemed premature as recently as 2023. Venture capital investment in humanoid robotics exceeded three billion dollars in 2024, with reports of multi-billion market projections for the next decade [4]. What this momentum cannot easily tell us is whether the design assumptions underlying this transition have been adequately examined. The present dominant commercial logic treats humanoid forms primarily as a means of fitting machine labour into existing human infrastructure i.e. same floor plan, same tools, and minimal workflow redesign. That is a reasonable engineering position. It may also be eclipsing, earlier than is wise, questions around whether the humanoid is best understood as a substitute for human presence or as a platform for augmenting it. 

It is worth noting that the world these machines are being designed to inhabit was itself built around the human body. Every dimension of that infrastructure, accumulated across two centuries of industrial development, was calibrated to the physical limits and capabilities of the biological human form. While previous waves of automation reshaped work around the machine, the humanoid, at least in aspiration, inverts that relationship. In doing so, it raises a concern that the industrial revolution never had occasion to face: What becomes of the human body’s centrality to working life when the physical form that justified building the world around it can be replicated, scaled, and indefinitely reproduced? That this question is now being asked simultaneously in boardrooms, parliaments, and papal encyclicals is perhaps the clearest measure of its weight [5] 

What the field of collaborative robotics has understood for some time (and what the humanoid moment is now forcing into general visibility) is that matching human physical capability, however necessary, is not sufficient. Harder questions concern the relationship between human and robot: what kind of human-robot partnership produces durable, humane, and useful outcomes, and under what conditions workers can reasonably extend trust to machines working beside them. Those questions shaped decades of research into human-robot interaction and collaboration and the work the Australian Cobotics Centre has been part of since 2021. How much humanoids come to define the next chapter of that work is ultimately a question research and humanity will have to answer. 

 

Call for Participation

The Australian Cobotics Centre is calling for experts across academia, industry, and government to participate in a research study at the University of Technology Sydney aimed at developing a clearer definition of collaborative robots. Participation involves an online discussion followed by a brief activity to rate statements about cobots. Your input will directly inform how the field defines and frames human–robot collaboration. 

More information and EOI here:  EOI and Consent Form (https://forms.office.com/r/YSYQPWqD8X) 

 

References and Further Reading:  

[1] Harmon, K. (2026). A humanoid robot beat the human half-marathon record at a Beijing race. But what did it actually prove? Scientific American 

[2] Unitree Robotics. (2026). Kung fu meets spring: Unitree Spring Festival Gala robots present “Cyber Real Kung Fu” in the year of the horse [Press release]. PR Newswire.  

[3] Cleary, T. (Trans.). (1992). The essential Tao: An initiation into the heart of Taoism through the authentic Tao Te Ching and the inner teachings of Chuang-tzu. HarperCollins.  

[4] Goldman Sachs. (2024). Humanoid robots: A $38 billion market by 2035. Goldman Sachs Research.  

[5] Leo XIV. (2026). Magnifica Humanitas [Encyclical letter]. Dicastery for Communication, Holy See.  

 

 

DIS Honourable Mention for Designing Socio-Technical Robotic Systems team

Congratulations to Jasper Vermeulen and co-authors (Glenda Caldwell, Müge Belek Fialho Teixeira, Alan Burden, and Matthias Guertler) on their Honourable Mention for their paper at the ACM DIS Conference.

“The Invisible Work of Robotic Surgery: How Specialists Support, Shoulder, and Sustain Human-Robot Collaboration” has been recognised with an Honourable Mention Award!

The paper is one of 47 Honourable Mentions selected alongside 16 Best Papers from 1,154 submissions, placing it in the top ~5% of the program.

Congratulations to Nadimul Haque on the successful completion of his CA3! 

Congratulations to University of Technology Sydney PhD researcher Nadimul Haque on the successful completion of his CA3!

Nadimul’s PhD research, entitled: Skill Learning and Efficient Adaptation for Robot Manipulation, focuses on how collaborative robots can safely and intelligently perform manipulation tasks in dynamic environments. His work brings together perception, planning, situational awareness, and learning‑based control to support close human‑robot interaction in settings that extend beyond fixed, highly structured factory floors.. His work has been conducted in close collaboration with InfraBuild, ensuring the research is grounded in practical challenges and delivers meaningful impact for Australian industry.

🔗 Read more about his project: https://lnkd.in/gnGtqbN3

The CA3 marks the final milestone before PhD submission and was attended by:
Chair: Prof Shoudong Huang
Assessor: A/Prof Gavin Paul
Supervisory Panel: Prof Teresa Vidal Calleja, A/Prof Marc Carmichael, Dr Fouad (Fred) Sukkar, Dr Sheila Sutjipto

Best of luck with final submission, Nadim! We are very proud of you and look forward to seeing the impact of this work.

Well done, Nadimul!

QUTie Hits the Road: Humanoid Robotics in the Real World

QUTie Hits the Road: Humanoid Robotics in the Real World

QUT’s newest humanoid robot, QUTie, has been stepping beyond the lab and into real-world environments—supporting research, sparking conversations, and building connections across Queensland and northern New South Wales.

As part of a broader push to explore how humanoid robots can integrate into everyday life, QUTie recently joined researchers on a regional and industry engagement tour, showcasing the role robotics can play in future communities, workplaces, and industries.

Inspiring communities across Queensland

Through outreach initiatives, including visits linked to the Country Universities Centre, QUTie has been helping engage regional communities in discussions around technology adoption and innovation. These interactions are not only inspiring curiosity but also informing future research directions—grounded in real-world perspectives on how robotics can support regional and remote Australia.

By bringing a humanoid robot directly into these settings, researchers are gaining valuable insights into how people respond to emerging technologies outside controlled environments.

Robotics meets industry and design

QUTie also joined A/Prof Müge Belek Fialho Teixeira and Prof Jonathan Roberts at the Metricon Design Summit in Byron Bay, where robotics and digital innovation took centre stage.

Müge shared insights into the future of construction, exploring how robotics and digital fabrication are transforming building practices. At the same time, Jon highlighted the growing role of humanoid robots in everyday contexts—from construction sites to domestic environments—demonstrating their potential to support a wide range of tasks.

Outside the conference, QUTie made a memorable appearance at Cape Byron Lighthouse, turning heads and drawing attention from visitors—offering a glimpse of how humanoid robots are increasingly entering public spaces.

Shaping the future of humanoid research

These real-world experiences are playing a critical role in shaping QUT’s humanoid robotics research. By combining technical development with community and industry engagement, the team is building a deeper understanding of usability, trust, and application in diverse settings.

As QUTie continues to travel, interact, and learn, it represents more than a technological milestone—it’s a step toward a future where humanoid robots are part of everyday life.

Read the articles:

Australian First – Humanoid Robot competes in 5km QUT Classic

QUTie, the 130cm tall, highly agile humanoid robot, took part in the 5km run at the QUT Classic, safely and closely monitored by Jonathan Roberts, Laurianne Sitbon, and Yoann Smets. We believe this is the first time a humanoid robot has completed a race of this calibre in Australia.

Starting the race alongside everyone else at the QUT Gardens Point Campus, QUTie enjoyed a scenic run around Kangaroo Point before finishing with a final stretch through the city’s Botanic Gardens. QUTie completed the Classic in just over an hour.

Throughout the race, QUTie quickly became a crowd favourite, mingling with participants before and after the run, taking countless selfies and photos, while also showing off its amazing dance moves!

During the race, QUTie self-managed its pace and slowed down whenever its motors heated up, proving the event was not only a great photo opportunity but also an excellent way to test QUTie in the Real World.

Check out the QUT Sport post here: QUT Sport post