Robohub.org
 

ShanghAI Lectures: Xiao’an Li “Action Skill Developmental Learning for Autonomous Soccer Robots”


by
20 February 2014



share this:
Robocup_robot_soccer_football
Robocub 2013 in Eindhoven.

DustinLi_0Guest talk in the ShanghAI Lectures, 2009-12-17

In the past decade, soccer robots have been developed greatly, and some of the robot soccer games have been showing more and more attractions. However, many open problems such as how to train soccer robots in the real world, and how the soccer robots learn the action skills incrementally or communicatively have been challenging us.

https://www.youtube.com/watch?v=nygqkdknA-I

In this talk, we will firstly introduce the motivations for our research. Then, some prospective approaches related with developmental learning of autonomous robots will be discussed. Also, we will propose some ideas and show some practical work for action skill developmental learning in autonomous mobile robots. At last, we will point out the potential advantages of developmental learning and the further research directions.

Xiaoan Li received the B.S. and M.S. degrees in Computer Information Engineering in 1987, Control Theory and Application in 1990, and Ph.D. degree in Computer Application Technology in 2000, respectively, all from the department of computer, Northwestern Polytechnical University, Xi’an city, China. Since 1997 he has been an associate professor. From May 2008 to May 2009, he was a visiting scholar in the Department of Computer Science and Engineering at the Michigan State University. Dr. Li is the founder of the Soccer Robot team in Northwestern Polytechnical University, and the chief advisor from 2003 to 2009. His research interests include computational intelligence, learning and cooperation of multi-agent robot system, the real-time intelligent control.

The ShanghAI Lectures are a videoconference-based lecture series on Embodied Intelligence, run and organized by Rolf Pfeifer (from 2009 till 2012), Fabio Bonsignorio (since 2013), and me with partners around the world. 

The ShanghAI Lectures have brought us a treasure trove of guest lectures by experts in robotics. You can find the whole series from 2012 here. Now, we’re bringing you the guest lectures you haven’t yet seen from previous years, starting with the first lectures from 2009 and releasing a new guest lecture every Thursday until all the series are complete. Enjoy!



tags: , , , , ,


Nathan Labhart Co-organizing the ShanghAI Lectures since 2009.
Nathan Labhart Co-organizing the ShanghAI Lectures since 2009.





Related posts :



Researchers are teaching robots to walk on Mars from the sand of New Mexico

  02 Sep 2025
Researchers are closer to equipping a dog-like robot to conduct science on the surface of Mars

Engineering fantasy into reality

  26 Aug 2025
PhD student Erik Ballesteros is building “Doc Ock” arms for future astronauts.

RoboCup@Work League: Interview with Christoph Steup

and   22 Aug 2025
Find out more about the RoboCup League focussed on industrial production systems.

Interview with Haimin Hu: Game-theoretic integration of safety, interaction and learning for human-centered autonomy

and   21 Aug 2025
Hear from Haimin in the latest in our series featuring the 2025 AAAI / ACM SIGAI Doctoral Consortium participants.

AIhub coffee corner: Agentic AI

  15 Aug 2025
The AIhub coffee corner captures the musings of AI experts over a short conversation.

Interview with Kate Candon: Leveraging explicit and implicit feedback in human-robot interactions

and   25 Jul 2025
Hear from PhD student Kate about her work on human-robot interactions.

#RoboCup2025: social media round-up part 2

  24 Jul 2025
Find out what participants got up to during the second half of RoboCup2025 in Salvador, Brazil.

#RoboCup2025: social media round-up 1

  21 Jul 2025
Find out what participants got up to during the opening days of RoboCup2025 in Salvador, Brazil.



 

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