Safe Learning for Uncertainty-Aware Planning via Interval MDP Abstraction
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Control Systems Letters"
DOI: 10.1109/lcsys.2022.3173993
Abstract: We study the problem of refining satisfiability bounds for partially-known stochastic systems against planning specifications defined using syntactically co-safe Linear Temporal Logic (scLTL). We propose an abstraction-based approach that iteratively generates high-confidence Interval Markov Decision… read more here.
Keywords: learning uncertainty; planning via; uncertainty aware; aware planning ... See more keywords
Impact-Aware Planning and Control for Aerial Robots With Suspended Payloads
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Robotics"
DOI: 10.1109/tro.2024.3381555
Abstract: A quadrotor with a cable-suspended payload imposes great challenges in impact-aware planning and control. This joint system has dual motion modes, depending on whether the cable is slack or not, and presents complicated dynamics. Therefore,… read more here.
Keywords: control aerial; aware planning; aerial robots; control ... See more keywords