Minimizing Robot Navigation-Graph For Position-Based Predictability By Humans
Published in Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2022), 2022
Recommended citation: Gopalakrishnan, S., & Kambhampati, S. (2022). Minimizing Robot Navigation-Graph For Position-Based Predictability By Humans. In Proceedings of the 21st International Conference on Autonomous Agents and MultiAgent Systems. https://www.ifaamas.org/Proceedings/aamas2022/pdfs/p531.pdf
Abstract
For safe human-robot cohabitation, humans must rapidly and accurately predict robot intentions. We introduce graph pruning and policy synthesis algorithms that minimize ambiguity in observer perception while preserving operational reachability.
Recommended citation: Gopalakrishnan, S., & Kambhampati, S. (2022). Minimizing Robot Navigation-Graph For Position-Based Predictability By Humans. In Proceedings of the 21st International Conference on Autonomous Agents and MultiAgent Systems.