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AI
1999
Springer
13 years 7 months ago
Cooperative Behavior Acquisition for Mobile Robots in Dynamically Changing Real Worlds Via Vision-Based Reinforcement Learning a
In this paper, we first discuss the meaning of physical embodiment and the complexity of the environment in the context of multi-agent learning. We then propose a vision-based rei...
Minoru Asada, Eiji Uchibe, Koh Hosoda
AROBOTS
1999
107views more  AROBOTS 1999»
13 years 7 months ago
Walking Robots and the Central and Peripheral Control of Locomotion in Insects
This paper outlines aspects of locomotor control in insects that may serve as the basis for the design of controllers for autonomous hexapod robots. Control of insect walking can b...
Fred Delcomyn
IBERAMIA
2010
Springer
13 years 6 months ago
Dynamic Reward Shaping: Training a Robot by Voice
Reinforcement Learning is commonly used for learning tasks in robotics, however, traditional algorithms can take very long training times. Reward shaping has been recently used to ...
Ana C. Tenorio-Gonzalez, Eduardo F. Morales, Luis ...
HICSS
2005
IEEE
101views Biometrics» more  HICSS 2005»
14 years 1 months ago
Attention and Communication: Decision Scenarios for Teleoperating Robots
The economics of robot manufacturing is driving us toward situations in which a single human operator will be expected to split attention across multiple semiautonomous vehicles, ...
Jeffrey V. Nickerson, Steven Skiena
TOH
2008
106views more  TOH 2008»
13 years 7 months ago
Physical Collaboration of Human-Human and Human-Robot Teams
Human partners working on a target acquisition task perform faster than do individuals on the same task, even though the partners consider each other to be an impediment. We record...
Kyle B. Reed, Michael A. Peshkin