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» Learning to Drive and Simulate Autonomous Mobile Robots
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ISRR
2005
Springer
149views Robotics» more  ISRR 2005»
14 years 1 months ago
Emergence, Exploration and Learning of Embodied Behavior
A novel model for dynamic emergence and adaptation of embodied behavior is proposed. A musculo-skeletal system is controlled by a number of chaotic elements, each of which driving...
Yasuo Kuniyoshi, Shinsuke Suzuki, Shinji Sangawa
ICRA
2007
IEEE
197views Robotics» more  ICRA 2007»
14 years 2 months ago
Detecting and Tracking Level Sets of Scalar Fields using a Robotic Sensor Network
— We introduce an algorithm which detects and traces a specified level set of a scalar field (a contour) on a plane. A network of static sensor nodes with limited communication...
Karthik Dantu, Gaurav S. Sukhatme
AROBOTS
2002
130views more  AROBOTS 2002»
13 years 7 months ago
Dynamic Motion Planning for Mobile Robots Using Potential Field Method
The potential field method is widely used for autonomous mobile robot path planning due to its elegant mathematical analysis and simplicity. However, most researches have been focu...
Shuzhi Sam Ge, Youjing Cui
CRV
2006
IEEE
114views Robotics» more  CRV 2006»
13 years 11 months ago
Single landmark based self-localization of mobile robots
In this paper we discuss landmark based absolute localization of tiny autonomous mobile robots in a known environment. Landmark features are naturally occurring as it is not allow...
Abdul Bais, Robert Sablatnig, Jason Gu
CIMCA
2005
IEEE
14 years 1 months ago
Learning to feel the physics of a body
Despite the tremendous progress in robotic hardware and in both sensorial and computing efficiencies the performance of contemporary autonomous robots is still far below that of ...
Ralf Der, Frank Hesse, Georg Martius