2021
Decentralized Trajectory Optimization for Multi-Agent Ergodic Exploration
RA-L 2021
Autonomous exploration is an application of growing importance in robotics. A promising strategy is ergodic trajectory planning, whereby an agent spends in each area a fraction of time which is proportional to its probability information density function. In this letter, a decentralized ergodic mult