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110
Voted
ICRA
2009
IEEE
132views Robotics» more  ICRA 2009»
15 years 7 months ago
Smoothed Sarsa: Reinforcement learning for robot delivery tasks
— Our goal in this work is to make high level decisions for mobile robots. In particular, given a queue of prioritized object delivery tasks, we wish to find a sequence of actio...
Deepak Ramachandran, Rakesh Gupta
NN
1998
Springer
15 years 6 days ago
A tennis serve and upswing learning robot based on bi-directional theory
We experimented on task-level robot learning based on bi-directional theory. The via-point representation was used for ‘learning by watching’. In our previous work, we had a r...
Hiroyuki Miyamoto, Mitsuo Kawato
99
Voted
IROS
2008
IEEE
123views Robotics» more  IROS 2008»
15 years 7 months ago
Learning predictive terrain models for legged robot locomotion
— Legged robots require accurate models of their environment in order to plan and execute paths. We present a probabilistic technique based on Gaussian processes that allows terr...
Christian Plagemann, Sebastian Mischke, Sam Prenti...
IROS
2008
IEEE
167views Robotics» more  IROS 2008»
15 years 7 months ago
Multi-robot complete exploration using hill climbing and topological recovery
— This article addresses the problem of autonomous map building and exploration of an unknown environment with mobile robots. The proposed method assumes that mobile robots use o...
Rui Rocha, João Filipe Ferreira, Jorge Dias
97
Voted
ICRA
2006
IEEE
132views Robotics» more  ICRA 2006»
15 years 6 months ago
Speeding-up Multi-robot Exploration by Considering Semantic Place Information
— In this paper, we consider the problem of exploring an unknown environment with a team of mobile robots. One of the key issues in multi-robot exploration is how to assign targe...
Cyrill Stachniss, Óscar Martínez Moz...