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AROBOTS
2000
137views more  AROBOTS 2000»
15 years 3 months ago
Acquiring Mobile Robot Behaviors by Learning Trajectory Velocities
Abstract. The development of robots that learn from experience is a relentless challenge confronting artificial intelligence today. This paper describes a robot learning method whi...
Koren Ward, Alexander Zelinsky
113
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ICRA
1998
IEEE
154views Robotics» more  ICRA 1998»
15 years 7 months ago
Environmental Complexity Control for Vision-Based Learning Mobile Robot
This paper discusses how a robot can develop its state vector according to the complexity of the interactions with its environment. A method for controlling the complexity is prop...
Eiji Uchibe, Minoru Asada, Koh Hosoda
VR
2007
IEEE
153views Virtual Reality» more  VR 2007»
15 years 9 months ago
Joystick mapped Augmented Reality Cues for End-Effector controlled Tele-operated Robots
End-effector control of robots using just remote camera views is difficult due to lack of perceived correspondence between the joysticks and the end-effector coordinate frame. Thi...
Aditya Nawab, Keshav Chintamani, R. Darin Ellis, G...
129
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HYBRID
2007
Springer
15 years 7 months ago
Solving Coverage Problems with Embedded Graph Grammars
We show how Embedded Graph Grammars (EGGs) are used to specify local interaction rules between mobile robots in a natural manner. This formalism allows us to treat local network to...
John-Michael McNew, Eric Klavins, Magnus Egerstedt
161
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AI50
2006
15 years 7 months ago
AI in Locomotion: Challenges and Perspectives of Underactuated Robots
Abstract. This article discusses the issues of adaptive autonomous navigation as a challenge of artificial intelligence. We argue that, in order to enhance the dexterity and adapti...
Fumiya Iida, Rolf Pfeifer, André Seyfarth