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AI
1999
Springer
14 years 9 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
AAAI
2000
14 years 11 months ago
Anchoring Symbols to Sensor Data: Preliminary Report
Anchoring is the process of creating and maintaining the correspondence between symbols and percepts that refer to the same physical objects. Although this process must necessaril...
Silvia Coradeschi, Alessandro Saffiotti
106
Voted
ICRA
1999
IEEE
183views Robotics» more  ICRA 1999»
15 years 2 months ago
Agent-Based Planning and Control of a Multi-Manipulator Assembly System
This paper presents a distributed planning and control architecture for autonomous Multi-Manipulator Systems (MMS). The control architecture is implemented using an agent-based ap...
Juan C. Fraile, Christiaan J. J. Paredis, Pradeep ...
AROBOTS
2005
114views more  AROBOTS 2005»
14 years 10 months ago
Visually Guided Cooperative Robot Actions Based on Information Quality
In field environments it is not usually possible to provide robots in advance with valid geometric models of its environment and task element locations. The robot or robot teams ne...
Vivek A. Sujan, Steven Dubowsky
ROBOCUP
2007
Springer
167views Robotics» more  ROBOCUP 2007»
15 years 4 months ago
Cooperative/Competitive Behavior Acquisition Based on State Value Estimation of Others
The existing reinforcement learning approaches have been suffering from the curse of dimension problem when they are applied to multiagent dynamic environments. One of the typical...
Kentarou Noma, Yasutake Takahashi, Minoru Asada