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IROS
2006
IEEE
217views Robotics» more  IROS 2006»
13 years 11 months ago
Active SLAM using Model Predictive Control and Attractor based Exploration
– Active SLAM poses the challenge for an autonomous robot to plan efficient paths simultaneous to the SLAM process. The uncertainties of the robot, map and sensor measurements, a...
Cindy Leung, Shoudong Huang, Gamini Dissanayake
IJACTAICIT
2010
163views more  IJACTAICIT 2010»
13 years 2 months ago
Modified Vector Field Histogram with a Neural Network Learning Model for Mobile Robot Path Planning and Obstacle Avoidance
In this work, a Modified Vector Field Histogram (MVFH) has been developed to improve path planning and obstacle avoidance for a wheeled driven mobile robot. It permits the detecti...
Bahaa I. Kazem, Ali H. Hamad, Mustafa M. Mozael
ICRA
2003
IEEE
114views Robotics» more  ICRA 2003»
13 years 10 months ago
Robotic catching using a direct mapping from visual information to motor command
— In this paper a robotic catching algorithm based on a nonlinear mapping of visual information to the desired trajectory is proposed. The nonlinear mapping is optimized by learn...
Akio Namiki, Masatoshi Ishikawa
ICANN
2009
Springer
13 years 12 months ago
Basis Decomposition of Motion Trajectories Using Spatio-temporal NMF
Abstract. This paper’s intention is to present a new approach for decomposing motion trajectories. The proposed algorithm is based on nonnegative matrix factorization, which is a...
Sven Hellbach, Julian Eggert, Edgar Körner, H...
KES
1998
Springer
13 years 9 months ago
Intelligent control with the growing competitive linear local mapping neural network for robotic hand-eye coordination
Several intelligent features are embedded in the Growing Competitive Linear Local Mapping Neural Network. They result in an adaptive, fast-learning, very efficient control scheme, ...
Andrei Cimponeriu, Hubert Kihl