Motion Planning under Uncertainty for Robotic Tasks with Long Time Horizons

DOI10.1007/978-3-642-19457-3_10zbMath1247.68289OpenAlexW4251760108MaRDI QIDQ2914906

Wee Sun Lee, Yanzhu du, Hanna Kurniawati, David Hsu

Publication date: 21 September 2012

Published in: Springer Tracts in Advanced Robotics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-642-19457-3_10

zbMATH Keywords

robot motion planningPOMDP planningmilestone guided sampling (MiGS)partially observable Markov decision process (POMDP)

Mathematics Subject Classification ID

Automated systems (robots, etc.) in control theory (93C85) Reasoning under uncertainty in the context of artificial intelligence (68T37) Artificial intelligence for robotics (68T40)

Related Items (3)

Shortest length paths for a differential drive robot keeping a set of landmarks in sight ⋮ Multi-robot LTL planning under uncertainty ⋮ ABC-LMPC: Safe Sample-Based Learning MPC for Stochastic Nonlinear Dynamical Systems with Adjustable Boundary Conditions

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