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.

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 :



Robot Talk Episode 86 – Mario Di Castro

In the latest episode of the Robot Talk podcast, Claire chatted to Mario Di Castro from CERN all about robotic inspection and maintenance in hazardous environments.
24 May 2024, by

Congratulations to the #ICRA2024 best paper winners

The winners and finalists in the different categories have been announced.
20 May 2024, by

Robot Talk Episode 85 – Margarita Chli

In the latest episode of the Robot Talk podcast, Claire chatted to Margarita Chli from the University of Cyprus all about vision, navigation, and small aerial drones.
17 May 2024, by

What’s coming up at #ICRA2024?

Find out what's on the programme at the IEEE International Conference on Robotics and Automation.
10 May 2024, by

Octopus inspires new suction mechanism for robots

Suction cup grasping a stone - Image credit: Tianqi Yue The team, based at Bristol Robotics Laboratory, studied the structures of octopus biological suckers,  which have superb adaptive s...
18 April 2024, by

Open Robotics Launches the Open Source Robotics Alliance

The Open Source Robotics Foundation (OSRF) is pleased to announce the creation of the Open Source Robotics Alliance (OSRA), a new initiative to strengthen the governance of our open-source robotics so...





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


©2024 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association