Robust Task and Motion Planning

Organizers: Neil T. Dantam, Ye Zhao, Lydia E. Kavraki


This workshop will address a growing need in Task and Motion Planning (TMP) to tackle the uncertainty, non-determinism, and complex dynamics of real-world environments. TMP is an active research topic with related work proceeding in the robotics, AI, controls, and formal methods communities. The varying focus and assumptions between different communities has produced a proliferation of approaches addressing different aspects of the problem space. This workshop will bring together researchers from these different communities to discuss the challenges and contrasting approaches for robust TMP. We hope to build on past RSS workshops on formal methods and benchmarks for TMP to now identify connections among robust TMP approaches and to better define the scenarios and motivating problems on which the community should focus.