Comparing Physical and Simulated Performance of a Deterministic and a Bio-inspired Stochastic Foraging Strategy for Robot Swarms.
Qi LuAntonio D. GriegoG. Matthew FrickeMelanie E. MosesPublished in: ICRA (2019)
Keyphrases
- bio inspired
- swarm intelligence
- real robot
- mobile robot
- hybrid intelligent systems
- ant colony optimization
- ant colonies
- low level image processing
- neural models
- multi robot
- physical world
- simulated robot
- stochastic methods
- modular neural networks
- collective behavior
- vision system
- artificial neural networks
- stochastic optimization problems
- particle swarm optimization pso
- evolutionary computation
- physical objects
- reinforcement learning
- image analysis and pattern recognition
- humanoid robot
- robotic systems
- computational intelligence
- decision making
- genetic algorithm
- physical constraints
- database
- honey bee
- search space
- computer vision