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

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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?

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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.

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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.  

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“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.

• The Invisible Work of Robotic Surgery: How Specialists Support, Shoulder, and Sustain Human-Robot Collaboration, Jasper Vermeulen, Glenda Caldwell, Müge Belek Fialho Teixeira, Alan Burden, Matthias Guertler

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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!

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• QUT – Hello QUTie! QUT’s new humanoid robot takes on the real world
• QUT Outback Road Trip Inspires Regional Communities Through Robotics and Innovation | Country Universities Centre
• Invasion of the bots: Humanoid surprises tourists at Cape Byron – Byron Coast Times

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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

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Munia’s CA3 marks the final milestone ahead of her PhD submission.

Her PhD, undertaken within the Quality Assurance and Compliance Program, focuses on developing a structured quality assurance framework for human–robot collaborative manufacturing, with an emphasis on monitoring and automated documentation of cobot-enabled processes. Munia has worked closely with Cook Medical, ensuring her research directly addresses real-world manufacturing challenges and delivers practical value to industry.

🔗 Learn more about her project: https://lnkd.in/gu_mjYdy

Her work advances how manufacturers approach defect detection, classification, and prevention—bringing together human expertise and cobot precision to improve quality outcomes, reduce rework, and support more efficient production systems.

Munia is supervised by Dr. Nathalie Sick, Matthias Guertler and Mickey Clemon.

Congratulations, Munia! The whole team wishes you all the very best with your final submission — we are incredibly proud of you and look forward to seeing where you go next!

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