Robohub.org
podcast
 

Knowledge engineering with Mary-Anne Williams


by
29 June 2012



share this:

In this episode, we talk to Mary-Anne Williams, knowledge engineer and roboticist from the University of Technology in Sydney Australia (UTS). Her work focuses on cognitive models of decision making and behaviour in complex and dynamic environments, including applications in mobile robotics.

Mary-Anne Williams

Mary Anne Williams and the PR2

Mary-Anne Williams is the director of the Innovation and Enterprise Research laboratory at UTS, where researchers are investigating the process of innovation and the role of the law, as well as IT, in the adoption of innovative and entrepreneurial practice.

Mary-Anne has a passion for innovation, science, technology and engineering. She is coach of the Robot Soccer team UTS Unleashed! and the 3D simulation team the Karachi Koalas and has lead seven robot soccer teams to outstanding success at the International Robot Soccer World Cup. She is Program Chair of the International Conference in Social Robotics this year, and works with her research team at UTS to engineer knowledge; together they explore robot learning, social robotics, human-robot interaction, robots in society, robot-robot collaboration, and bio-inspired robot cognition.

In this interview, she talks about her work, her involvement with the International Conference in Social Robotics and the PR2 robot.

Links:



tags: ,


Podcast team The ROBOTS Podcast brings you the latest news and views in robotics through its bi-weekly interviews with leaders in the field.
Podcast team The ROBOTS Podcast brings you the latest news and views in robotics through its bi-weekly interviews with leaders in the field.

            AUAI is supported by:



Subscribe to Robohub newsletter on substack



Related posts :

ACM SIGAI Autonomous Agents Award 2027 open for nominations

  20 Oct 2026
Nominations are solicited for the 2027 ACM SIGAI Autonomous Agents Research Award.

Powered by muscle cells, a paper-thin robot swims through watery maze

  19 Oct 2026
MIT engineers’ new aquabot offers a way to design small, efficient “biohybrid” robots.

Robot Talk Episode 166 – Evolving robot bodies and brains, with Rika Antonova

  16 Oct 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Rika Antonova from the University of Cambridge about using artificial intelligence to develop complimentary robot hardware and algorithms.

Humanoid robots can sprint and box – but the real test is doing the laundry

  12 Oct 2026
No robot system can yet reliably handle the whole laundry process. Even folding remains a challenge.

Robot Talk Episode 165 – Robots behind the research, with Kushant Patel

  09 Oct 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Kushant Patel from Brookhaven National Laboratory about robots that work in scientific facilities, such as particle accelerators.

What three days building a robot taught me

and   07 Oct 2026
The brief sounded simple: build a small autonomous robot, then make it survive increasingly difficult mazes. Simple... right? Until you actually have to build one.

Research could guide the future design of social robots

  05 Oct 2026
Giving robot companions animal-like or anime-style faces and voices could maximise their emotional appeal to users, according to new research which could help guide the growing field of social robotics.


↑


AUAI is supported by:







Subscribe to Robohub newsletter on substack




 















©2026.05 - Association for the Understanding of Artificial Intelligence