Chance-Constrained Motion Planning

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13 papers2 papers in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

  1. Chance-Constrained Inspection Viewpoint Sequencing for On-Orbit Servicing via Safe Reinforcement Learning

    Oct 30, 2026Chloé Carer, Adam AbdinRobotic InspectionNext-Best-View Planning

    LGI

  2. CONSORT: Uncertainty-Constrained Multi-Robot Planning for Cooperative Localization in GPS-Denied Environments

    Oct 30, 2026Tony Zhang, Ryan Bartholomew, Kalliyan Velasco +2Multi-Robot Motion PlanningBelief-Space Planning

    Authors are with the FROST Lab, Ira A. Fulton College of Engineering, Brigham Young University, Provo, UT 84602, USA. · T. Zhang is with the Kahlert School of Computing, University of Utah, Salt Lake City, UT 84112, USA, and contributed to this work as a visiting undergraduate researcher in the FROST Lab.

  3. Distribution-Transfer Safe-Horizon MPC under Mode Uncertainty

    Oct 5, 2026Stephen Crawford, Nora AyanianChance-Constrained Motion PlanningModel Predictive Control

    Department of Computer Science, Brown University, Providence, RI, USA.

  4. Stochastic Neural Signed Swept Volume for Real-time Chance-Constrained Trajectory Optimization

    Sep 18, 2026Qingyi Chen, Kevin Zhang, Lucas Chen +1Robot Motion PlanningRobot Collision Avoidance

    Department of Computer Science, Purdue University, West Lafayette, IN, USA

  5. Conformal Constraint Tightening for Chance-Constrained Motion Planning with Unknown Dynamics

    Jul 24, 2026Shubham Natraj, Bruno Sinopoli, Yiannis KantarosConstrained Motion PlanningChance-Constrained Motion Planning

    Department of Electrical and Systems Engineering, Washington University in St. Louis, 1 Brookings Dr, St. Louis, MO 63130, USA · School of Electrical, Computer and Energy Engineering, Arizona State University, 650 E. Tyler Mall, Tempe, AZ 85281, USA

  6. Stochastic Multi-Objective Kinodynamic Planning Against Adversaries

    Jul 21, 2026Thomas Marshall Vielmetti, Daniel Cherenson, Dimitra PanagouConstrained Motion PlanningKinodynamic Motion Planning

    Department of Robotics, University of Michigan, Ann Arbor, MI 48109, USA · Department of Robotics and Department of Aerospace Engineering, University of Michigan, Ann Arbor, MI 48109, USA

  7. Continuous-Time Gaussian Belief Trees for Motion Planning

    Jul 3, 2026Rayan Mazouz, Qi Heng Ho, Zachary N. Sunberg +1Belief-Space PlanningConstrained Motion Planning

    Department of Aerospace Engineering Sciences at the University of Colorado Boulder, CO, USA · Department of Aerospace and Ocean Engineering at Virginia Tech, Blacksburg, VA, USA

  8. Chance-Constrained MPPI under State and Dynamic Object Prediction Uncertainty and the Evaluation of Collision Risk Calibration

    May 27, 2026Benjamin Serfling, Konrad Doll, Kati Radkhah-LensChance-Constrained Motion PlanningSafe Motion Planning

    University of Applied Sciences Aschaffenburg, Aschaffenburg, Germany

  9. Provably Safe Motion Planning Under Unknown Disturbances

    May 26, 2026Ibon Gracia, Qi Heng Ho, Luca Laurenti +1Sampling-Based Motion PlanningChance-Constrained Motion Planning

    Department of Aerospace Engineering Sciences at the University of Colorado Boulder, CO, USA · Department of Aerospace and Ocean Engineering, Virginia Tech, VA, USA · Delft University of Technology, the Netherlands, and the Italian Institute of Artificial Intelligence, Italy

  10. Probabilistic Recursively Feasible Motion Planning Under Uncertain Environments

    May 18, 2026Hyeontae Sung, Hyeongchan Ham, Junyoung Park +2Constrained Motion PlanningChance-Constrained Motion Planning

    School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Korea · The SYCAMORE Lab, ´Ecole Polytechnique F´ed´erale de Lausanne (EPFL), Switzerland

  11. Coverage First Next Best View for Inspection of Cluttered Pipe Networks Using Mobile Manipulators

    Mar 17, 2026Joshua Raymond Bettles, Jiaxu Wu, Bruno Vilhena Adorno +2Chance-Constrained Motion PlanningRobotic Inspection

    Manchester Centre for Robotics and AI, The University of Manchester, Manchester, UK. · The University of Tokyo, Tokyo, Japan.

  12. Statistical Contraction for Chance-Constrained Trajectory Optimization of Non-Gaussian Stochastic Systems

    Mar 7, 2026Rihan Aaron D'Silva, Hiroyasu TsukamotoContraction TheoryTrajectory Optimization

    Department of Aerospace Engineering, The Grainger College of Engineering, University of Illinois Urbana-Champaign, Urbana, Illinois 61801

  13. U-OBCA: Uncertainty-Aware Optimization-Based Collision Avoidance via Wasserstein Distributionally Robust Chance Constraints

    Mar 5, 2026Zehao Wang, Yuxuan Tang, Han Zhang +2Chance-Constrained Motion PlanningCollision Avoidance

    School of Automation and Intelligent Sensing, Shanghai Jiao Tong University and Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai 200240, China. · Key Laboratory of System Control and Information Processing, Ministry of Education of China, and Shanghai Engineering Research Center of Intelligent Control and Management, Shanghai 200240, China.