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ROBOCUP
2001
Springer
96views Robotics» more  ROBOCUP 2001»
14 years 1 months ago
Strategy Learning for a Team in Adversary Environments
Team strategy acquisition is one of the most important issues of multiagent systems, especially in an adversary environment. RoboCup has been providing such an environment for AI a...
Yasutake Takahashi, Takashi Tamura, Minoru Asada
SIGCSE
2006
ACM
108views Education» more  SIGCSE 2006»
14 years 2 months ago
Developing collaborative skills early in the CS curriculum in a laboratory environment
The research on teaching and learning over the past 50 years suggests that the early use of collaborative learning leads to higher interest, higher retention, and higher academic ...
Dawn McKinney, Leo F. Denton
ICRA
2008
IEEE
229views Robotics» more  ICRA 2008»
14 years 3 months ago
Learning of moving cast shadows for dynamic environments
Abstract— We propose a novel online framework for detecting moving shadows in video sequences using statistical learning techniques. In this framework, Support Vector Machines ar...
Ajay J. Joshi, Nikolaos Papanikolopoulos
ICMCS
2006
IEEE
117views Multimedia» more  ICMCS 2006»
14 years 2 months ago
Ermdclime: Enabling Real-time Multimedia Discussion for Collaborative Learning in Mobile Environment
With the aid of mobile technology, it’s possible to carry out collaborative learning (CL) in any places at any time. And the most essential and effective way to achieve this goa...
Xin Xiao, Yuanchun Shi, Nan Zhang
IROS
2006
IEEE
136views Robotics» more  IROS 2006»
14 years 2 months ago
Panoramic View-Based Navigation in Outdoor Environments Based on Support Vector Learning
— This paper describes a panoramic view-based navigation in outdoor environments. We have been developing a two-phase navigation method. In the training phase, the robot acquires...
Hideo Morita, Michael Hild, Jun Miura, Yoshiaki Sh...