Motion planning with uncertainty: a landmark approach
Artificial Intelligence - Special volume on planning and scheduling
Guaranteed tuning, with application to robust control and motion planning
Automatica (Journal of IFAC)
Robot Motion Planning
Robust Control: Systems with Uncertain Physical Parameters
Robust Control: Systems with Uncertain Physical Parameters
Methods and Applications of Interval Analysis (SIAM Studies in Applied and Numerical Mathematics) (Siam Studies in Applied Mathematics, 2.)
Planning Algorithms
The Reach-and-Evolve Algorithm for Reachability Analysis of Nonlinear Dynamical Systems
Electronic Notes in Theoretical Computer Science (ENTCS)
Technical Communique: Nonlinear bounded-error state estimation of continuous-time systems
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Brief Guaranteed state estimation by zonotopes
Automatica (Journal of IFAC)
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This paper is devoted to path planning when the safety of the system considered has to be guaranteed in the presence of bounded uncertainty affecting its model. A new path planner addresses this problem by combining Rapidly-exploring Random Trees (RRT) and a set representation of uncertain states. An idealized algorithm is presented first, before a description of one of its possible implementations, where compact sets are wrapped into boxes. The resulting path planner is then used for nonholonomic path planning in robotics.