RiP: RTD based (Ri)sk Aware (P)lanner
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Updated
Oct 13, 2023 - Python
RiP: RTD based (Ri)sk Aware (P)lanner
C++/python codes for contact-rich trajectory optimization.
Benchmarks for risk-aware reward shaping of autonomous driving
Model predictive control (MPC) for a stochastic linear system with runtime signal temporal logic (STL) specifications
Implementation for "The Price of a Safe Flight: Risk Cost Based Path Planning" [Accepted Presentation ICRA 2024]
A risk-aware framework for Task Allocation among Stochastic Multi-Agent Systems
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