Experiments in learning distributed control for a hexapod robot

Author:

Barfoot T.D.,Earon E.J.P.,D’Eleuterio G.M.T.

Publisher

Elsevier BV

Subject

Computer Science Applications,General Mathematics,Software,Control and Systems Engineering

Reference40 articles.

1. Abstracted biological principles with reduced actuation improve mobility of legged vehicles;Allen,2003

2. T.D. Barfoot, G.M.T. D’Eleuterio, An evolutionary approach to multiagent heap formation, in: Congress on Evolutionary Computation, 1999

3. T.D. Barfoot, E.J.P. Earon, G.M.T. D’Eleuterio, A step in the right direction: Learning hexapod gaits through reinforcement, in: Proceedings of the 31st International Symposium on Robotics, ISR, Montréal, Canada, 2000

4. Evolving distributed control for an object clustering task;Barfoot;Complex Systems,2005

5. Learning to act using real-time dynamic programming;Barto;Artificial Intelligence,1995

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4. A Bioinspired Gait Transition Model for a Hexapod Robot;Journal of Robotics;2018-09-03

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