Robot gaits evolved by combining genetic algorithms and binary hill climbing.
Lena Mariann GarderMats Erling HøvinPublished in: GECCO (2006)
Keyphrases
- hill climbing
- simulated annealing
- genetic algorithm
- genetic algorithm ga
- humanoid robot
- legged robots
- sagittal plane
- tabu search
- search space
- mobile robot
- max min
- direct search
- fitness function
- search algorithm
- metaheuristic
- systematic search
- search strategy
- robotic systems
- steepest ascent
- hybrid algorithms
- human robot interaction
- evolutionary algorithm
- search procedure
- greedy search
- path finding
- multi robot
- artificial neural networks
- neural network
- autonomous robots
- vision system
- multi objective
- quadruped robot
- hybrid algorithm
- hill climbing algorithm
- rough terrain
- evolutionary process
- exhaustive search
- mechanical systems
- differential evolution
- beam search
- motion planning
- evolutionary computation
- path planning
- genetic programming
- solution space
- binary representation
- heuristic function
- walking speed
- reference trajectory
- optimization problems
- rule learning