Applying Genetic Algorithms to Control Gait of Physically Based Simulated Robots
- 22 September 2006
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
No abstract availableKeywords
This publication has 8 references indexed in Scilit:
- Legs that can walk: Embodiment-Based Modular Reinforcement Learning appliedPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- An Analysis of Neural Models for Walking ControlIEEE Transactions on Neural Networks, 2005
- Electrical Drives in Intelligent Vehicles: Basis for Active Driver Assistance SystemsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Evolving a locus based gait for a humanoid robotPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2004
- Policy gradient reinforcement learning for fast quadrupedal locomotionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2004
- Genetic programming approach to the construction of a neural network for control of a walking robotPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Legged Robots That BalanceIEEE Expert, 1986
- Adaptive Locomotion of a Multilegged Robot over Rough TerrainIEEE Transactions on Systems, Man, and Cybernetics, 1979