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» A Neural Network-Based Approach to Robot Motion Control
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CEC
2008
IEEE
13 years 10 months ago
Investigation of simply coded evolutionary artificial neural networks on robot control problems
One of the advantages of evolutionary robotics over other approaches in embodied cognitive science would be its parallel population search. Due to the population search, it takes a...
Yoshiaki Katada, Jun Nakazawa
ICRA
1999
IEEE
102views Robotics» more  ICRA 1999»
14 years 26 days ago
Teleoperation with Adaptive Motion/Force Control
In this paper, an adaptive motion force control based approach is proposed to control bilateral teleoperation systems under both position and rate control with arbitrary motion fo...
Wen-Hong Zhu, S. E. Salcudean
ICRA
2000
IEEE
236views Robotics» more  ICRA 2000»
14 years 29 days ago
A General Learning Approach to Multisensor Based Control using Statistic Indices
We propose a concept for integrating multiple sensors in real-time robot control. To increase the controller robustness under diverse uncertainties, the robot systematically gener...
Yorck von Collani, Markus Ferch, Jianwei Zhang, Al...
NN
2008
Springer
13 years 7 months ago
Sensory adaptation in human balance control: Lessons for biomimetic robotic bipeds
- This paper describes mechanisms used by humans to stand on moving platforms, such as a bus or ship, and to combine body orientation and motion information from multiple sensors i...
Arash Mahboobin, Patrick J. Loughlin, Mark S. Redf...
IJCNN
2006
IEEE
14 years 2 months ago
Language Acquisition and Symbol Grounding Transfer with Neural Networks and Cognitive Robots
— Neural networks have been proposed as an ideal cognitive modeling methodology to deal with the symbol grounding problem. More recently, such neural network approaches have been...
Angelo Cangelosi, Emmanouil Hourdakis, Vadim Tikha...