Abstract: The long-term goal of this work is to enable agents with low-information sensors to perform tasks usually restricted to ones with more ...

In this work, we propose a motion planning method for a multi- agent system tasked with autonomously locating and tracking a single moving target with binary ...

May 23, 2022 · The long-term goal of this work is to enable agents with low-information sensors to perform tasks usually restricted to ones with more ...

In this paper, we specifically investigate the problem of controlling a mobile robot to persistently monitor a set of mobile targets moving over a given ...

Feb 8, 2022 · ForMIC: Foraging via Multiagent RL with Implicit Communication · Multi-Agent Dynamic Ergodic Search with Low-Information Sensors.

The problem is posed so that the robot spends time in areas with low information measures, whereas the “explored space” is related to high information measures.

Jul 14, 2023 · The primary goal of this work is to determine the trajectories for all agents such that the worst-case objective or highest ergodic metric on ...

Apr 25, 2024 · Multi-Agent Dynamic Ergodic Search with Low-Information Sensors. ICRA 2022: 11480-11486. [+][–]. Coauthor network. maximize. Note that this ...

In this paper we propose a metric that quantifies how far trajectories are from being ergodic with respect to a given probability measure.

Choset,. “Multi-agent dynamic ergodic search with low-information sensors,” in 2022 International Conference on Robotics and Automation (ICRA). IEEE, 2022 ...