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Path-guided artificial potential fields with stochastic reachable sets for motion planning in highly dynamic environments.

, , , , and . ICRA, page 2347-2354. IEEE, (2015)

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Reachability for partially observable discrete time stochastic hybrid systems., and . Automatica, 50 (8): 1989-1998 (2014)Using linear system reliability to obtain theoretical understanding of wireless routing., , , and . GLOBECOM, page 1310-1316. IEEE, (2014)Finite state approximation for verification of partially observable stochastic hybrid systems., and . HSCC, page 159-168. ACM, (2015)Stochastic reachability based motion planning for multiple moving obstacle avoidance., , , and . HSCC, page 51-60. ACM, (2014)Aggressive Moving Obstacle Avoidance Using a Stochastic Reachable Set Based Potential Field., , , , and . WAFR, volume 107 of Springer Tracts in Advanced Robotics, page 73-89. Springer, (2014)Controller Synthesis for Probabilistic Safety Specifications using Observers., and . ADHS, volume 48 of IFAC-PapersOnLine, page 329-334. Elsevier, (2015)Multi-objective optimal control with safety as a priority., and . ICCPS, page 25-36. ACM, (2017)Approximate Safety Verification and Control of Partially Observable Stochastic Hybrid Systems., and . IEEE Trans. Automat. Contr., 62 (1): 81-96 (2017)ARCH-COMP18 Category Report: Stochastic Modelling., , , , , , , , , and 1 other author(s). ARCH@ADHS, volume 54 of EPiC Series in Computing, page 71-103. EasyChair, (2018)Safety Verification of Output Feedback Controllers for Nonlinear Systems., and . CoRR, (2016)