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NIPS
1993
13 years 7 months ago
The Parti-Game Algorithm for Variable Resolution Reinforcement Learning in Multidimensional State-Spaces
Parti-game is a new algorithm for learning feasible trajectories to goal regions in high dimensionalcontinuousstate-spaces. In high dimensions it is essential that learningdoes not...
Andrew W. Moore
JIRS
2010
104views more  JIRS 2010»
13 years 4 months ago
On the Generation of Trajectories for Multiple UAVs in Environments with Obstacles
Abstract This paper presents a methodology based on a variation of the Rapidlyexploring Random Trees (RRTs) that generates feasible trajectories for a team of autonomous aerial veh...
Armando Alves Neto, Douglas Guimarães Macha...
ICRA
1999
IEEE
142views Robotics» more  ICRA 1999»
13 years 10 months ago
Development of BEST Nano-robot Soccer Team
In this paper, we describe the development of our BEST nano-robot soccer team composed of 5 robots, a vision system, and communication modules. Each nano-robot is designed with an...
Sung Ho Kim, JongSuk Choi, Byung Kook Kim
IJRR
2007
181views more  IJRR 2007»
13 years 6 months ago
Optimal Rough Terrain Trajectory Generation for Wheeled Mobile Robots
An algorithm is presented for wheeled mobile robot trajectory generation that achieves a high degree of generality and efficiency. The generality derives from numerical lineariza...
Thomas M. Howard, Alonzo Kelly
RSS
2007
136views Robotics» more  RSS 2007»
13 years 7 months ago
The Stochastic Motion Roadmap: A Sampling Framework for Planning with Markov Motion Uncertainty
— We present a new motion planning framework that explicitly considers uncertainty in robot motion to maximize the probability of avoiding collisions and successfully reaching a ...
Ron Alterovitz, Thierry Siméon, Kenneth Y. ...