Signal Temporal Logic (STL) specifies robot tasks with spatio-temporal requirements, and its robustness semantics allow planning by trajectory optimization. In practice, robots estimate their state from noisy measurements, and when the information gained from a measurement depends on the state, the robot can actively r...
Shao-Hang Han, Joris Verhagen, Kai-Er Liang et al.· 0 citations
We present a fast numerical method for safe continuous-time motion planning under Temporal Logic (TL) specifications. The method generates smooth continuous trajectories that remain collision-free while robustly satisfying temporal and logical task requirements. A central component of our method is the formulation of n...
Lukas Pries, Joris Verhagen, Jon Arrizabalaga et al.· 0 citations
This work addresses safe control under the induced multi-object state uncertainty with a risk-aware belief control barrier function (BCBF) framework and establishes forward invariance of the safe set under continuous prediction, and derives an explicit condition under which discrete updates preserve safety.
Shaohang Han, Gang Chen, Yi-Xi Cai et al.· arXiv.org· 0 citations
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