Robohub.org
ep.

053

podcast
 

Online human-robot interactions with Sonia Chernova and Kenton Williams


by
04 June 2010



share this:

Today’s episode was recorded at the Personal Robots Group at the MIT Media Lab in the middle of some beautifully expressive robots such as the Huggable, Tofu and Leonardo. There, we had a chance to speak with Sonia Chernova about the Mars Escape online game that is being used to learn about how humans and robots can work in teams. We then speak with Kenton Williams about the technical aspects behind one of their most expressive robots, Nexi.

Sonia Chernova

Sonia Chernova received her PhD from CMU, where she worked with Manuela Veloso (see Robots interview).

She is now working as a post-doc at the Personal Robots Group at the MIT Media Lab , directed by Cynthia Breazeal (see Talking Robots interview). At MIT, she’s looking at how to create robots that are able to assist and work with humans in a natural, predictable and robust way by gathering data through a new online game dubbed Mars Escape in a world premiere at using the Internet to study human-robot interactions. Anyone can participate in this experiment by taking on the role of a robot or an astronaut in an attempt to escape from their oxygen-deprived Mars-base without leaving anything important behind. Give it a try!

Using the data from thousands of players, Chernova will look at how to use the dialogs and actions performed online to generate a computational behavior model for each player. This model will then be tested online and then implemented in the Nexi Robot in a physical replica of the Mars Escape game that will be set-up in the Boston Museum of Science.

Finally, Chernova will be joining Worcester Polytechnic Institute as an Assistant Professor of Robotics Engineering in the fall of 2010.

Kenton Williams


Kenton Williams is expert in the bolts and nuts of Nexi. As a Mechanical Engineer, he will be telling us about the technical aspects and challenges behind the robot and his thesis on making Nexi learn physics!

Links:


Latest News:
For more information on this episode’s news, including videos of Anybots’ and Willow Garage’s telepresence robots and more information on Microsoft’s surprising move, visit the Robots Forum.



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.





Related posts :



Radboud chemists are working with companies and robots on the transition from oil-based to bio-based materials

  10 Dec 2025
The search for new materials can be accelerated by using robots and AI models.

Robot Talk Episode 136 – Making driverless vehicles smarter, with Shimon Whiteson

  05 Dec 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Shimon Whiteson from Waymo about machine learning for autonomous vehicles.

Why companies don’t share AV crash data – and how they could

  01 Dec 2025
Researchers have created a roadmap outlining the barriers and opportunities to encourage AV companies to share the data to make AVs safer.

Robot Talk Episode 135 – Robot anatomy and design, with Chapa Sirithunge

  28 Nov 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Chapa Sirithunge from University of Cambridge about what robots can teach us about human anatomy, and vice versa.

Learning robust controllers that work across many partially observable environments

  27 Nov 2025
Exploring designing controllers that perform reliably even when the environment may not be precisely known.

Human-robot interaction design retreat

  25 Nov 2025
Find out more about an event exploring design for human-robot interaction.



 

Robohub is supported by:




Would you like to learn how to tell impactful stories about your robot or AI system?


scicomm
training the next generation of science communicators in robotics & AI


 












©2025.05 - Association for the Understanding of Artificial Intelligence