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IROS
2006
IEEE
190views Robotics» more  IROS 2006»
16 years 20 days ago
Q-RAN: A Constructive Reinforcement Learning Approach for Robot Behavior Learning
Abstract— This paper presents a learning system that uses Qlearning with a resource allocating network (RAN) for behavior learning in mobile robotics. The RAN is used as a functi...
Jun Li, Achim J. Lilienthal, Tomás Mart&iac...
IROS
2006
IEEE
160views Robotics» more  IROS 2006»
16 years 20 days ago
Bounding Gait in a Hybrid Wheeled-Leg Robot
— This paper discusses the first implementation of a dynamically stable bounding gait on a hybrid wheeled-leg robot. Design of the robot is reviewed and the controllers which al...
James Andrew Smith, Inna Sharf, Michael Trentini
HAPTICS
2010
IEEE
15 years 10 months ago
Stability Analysis of Mobile Robot Teleoperation with Variable Force Feedback Gain
Abstract. We analyze the stability of previously proposed mobile robot teleoperation system [7]. Unlike to other approaches human-operator dynamics is included for the stability an...
Ildar Farkhatdinov, Jee-Hwan Ryu
GECCO
2006
Springer
185views Optimization» more  GECCO 2006»
15 years 10 months ago
Robot gaits evolved by combining genetic algorithms and binary hill climbing
In this paper an evolutionary algorithm is used for evolving gaits in a walking biped robot controller. The focus is fast learning in a real-time environment. An incremental appro...
Lena Mariann Garder, Mats Erling Høvin
ICANNGA
2007
Springer
153views Algorithms» more  ICANNGA 2007»
15 years 8 months ago
A Neural Framework for Robot Motor Learning Based on Memory Consolidation
Neural networks are a popular technique for learning the adaptive control of non-linear plants. When applied to the complex control of android robots, however, they suffer from se...
Heni Ben Amor, Shuhei Ikemoto, Takashi Minato, Ber...