Multi-Objective Motion Planning

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Overview

The field studies how robots and autonomous vehicles can plan motions when goals such as avoiding risk, reaching targets quickly, moving smoothly, and conserving resources conflict. Common approaches include Pareto and evolutionary search, weighted optimization, sampling-based planners, trajectory optimization, and learned policies that guide online control. Researchers apply these methods in settings ranging from autonomous driving and robot arms to multi-robot coordination under uncertainty, using simulations, task-specific tests, and emerging standardized benchmarks. A central challenge is finding diverse, feasible trade-offs quickly while evaluating them consistently, especially when uncertainty, interacting agents, or safety constraints are involved.

Latest papers

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18 papers2 papers in the last four weeks, down 50% on the four weeks before. 0.0% of all new papers.

  1. DD-GBP: Anytime Multi-Arm Planning and Continuous Execution via Distributed Dynamic Gaussian Belief Propagation

    Oct 14, 2026Zhao Jin, Fengyi Dai, Yuetong Yin +3Motion PlanningMulti-Robot Motion Planning

    State Key Laboratory of Tribology in Advanced Equipment, Department of Mechanical Engineering, Tsinghua University, Beijing, 100084, China · Beijing Key Laboratory of Transformative High-end Manufacturing Equipment and Technology, Department of Mechanical Engineering, Tsinghua University, Beijing 100084, China · State Key Laboratory of High-end Heavy-load Robots, Midea Group, Foshan 528300, China

  2. Multi-Robot Multi-Goal Motion Planning with Stochastic Skills

    Oct 6, 2026William Schnyder, Valentin N. Hartmann, Stelian CorosMulti-Robot Motion PlanningMotion Planning

    Computational Robotics Lab (CRL), ETH Zürich

  3. Evaluation Is All You Need for Multi-Modal Autonomous Driving

    Sep 25, 2026Zeyu He, Shiqi Liu, Ke Chen +14Autonomous Driving PlanningMulti-Objective Motion Planning

    School of Vehicle and Mobility & College of AI, Tsinghua University · Dongfeng Motor Corporation Research & Development Institute

  4. A Horizon-slicing Approach to Minimum Obstacle Displacement Planning for Robot Navigation

    Sep 19, 2026Antony Thomas, Giulio Ferro, Fulvio Mastrogiovanni +2Motion PlanningRobot Motion Planning

    Robotics Research Center, IIIT Hyderabad, Hyderabad 500032, India. · Department of Informatics, Bioengineering, Robotics, and Systems Engineering, University of Genoa, Via All’Opera Pia 13, 16145 Genoa, Italy.

  5. M3^3P-R1: Reinforcement Learning for Large Language Model Guided Multi-Modal Motion Planning via MIP Code Generation

    Sep 16, 2026Xingpeng Sun, Zherong Pan, Kai Cheng +3Constrained Motion PlanningLarge Language Model-Based Robot Planning

    Purdue University United States · LightSpeed Studios United States

  6. PccDiffuser: Multi-solution Motion Planning for Continuum Robots

    Sep 9, 2026Ke Qiu, Sifan Chen, Si Wang +3Constrained Motion PlanningDiffusion-Based Planning

    Department of Control Science and Engineering, Zhejiang University, Hangzhou, China

  7. From Multi-Modal Paths to Executable Trajectories: A Trajectory Planning Framework for 4WIS Robots

    Aug 29, 2026Runjiao Bao, Lin Zhang, Yongkang Xu +1Robot Motion PlanningMobile Robotics

    Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong SAR, China · School of Automation, Beijing Institute of Technology, Beijing 100081, China · Institute of Intelligence Technology and Robotic Systems, Shenzhen Research Institute of Nankai University, Shenzhen 518000, China

  8. Coordinated Motion Planning for Multi-Arm Systems via Iterative LQ Games

    Aug 27, 2026Junyoung Kim, Hanwen Ren, Lei Zhang +1Multi-Robot Motion PlanningMulti-Robot Coordination

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

  9. 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

  10. Globalized Constrained Stein Variational Inference for Diverse Feasible Robot Motion Planning

    Jul 14, 2026Jiayun Li, Georgia ChalvatzakiConstrained Motion PlanningConstrained Optimization

    PEARL Lab, Dept. of Computer Science, TU Darmstadt. · Hessian.AI, Darmstadt, Germany. · Robotics Institute Germany (RIG).

  11. NeHMO: Neural Hamilton-Jacobi Reachability Learning for Decentralized Safe Multi-Arm Motion Planning

    Jul 1, 2026Qingyi Chen, Zachary Kingston, Ahmed H. QureshiMulti-Robot Motion PlanningConstrained Motion Planning

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

  12. HOLO-MPPI: Multi-Scenario Motion Planning via Hierarchical Policy Optimization

    Jun 15, 2026Youngjae Min, Jovin D'sa, Faizan M. Tariq +3Hierarchical RLMotion Planning

    1Massachusetts Institute of Technology, Cambridge, MA 02139. · 2Honda Research Institute, USA, San Jose, CA, 95134.

  13. MORPH-U: Multi-Objective Resilient Motion Planning for V2X-Enabled Autonomous Driving in High-Uncertainty Environments via Simulation

    May 8, 2026Shih-Yu LaiV2X CommunicationSafe Motion Planning

    National Taiwan University Taipei, Taiwan

  14. Efficient Multi-Objective Planning with Weighted Maximization Using Large Neighbourhood Search

    Apr 6, 2026Krishna Kalavadia, Shamak Dutta, Yash Vardhan Pant +1Multi-Objective Motion PlanningMulti-Objective Optimization

    Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Canada

  15. Bridging the Evaluation Gap: Standardized Benchmarks for Multi-Objective Search

    Mar 25, 2026Hadar Peer, Carlos Hernandez, Sven Koenig +2Benchmark DesignMulti-Objective Optimization

    Technion – Israel Institute of Technology · Universidad San Sebastián · University of California, Irvine +1

  16. Evolutionary Biparty Multiobjective UAV Path Planning: Problems and Empirical Comparisons

    Mar 23, 2026Kesheng Chen, Wenjian Luo, Xin Lin +2UAV Trajectory OptimizationMulti-Objective Motion Planning

    Guangdong Provincial Key Laboratory of Novel Security Intelligence Technologies, School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen 518055, China · Peng Cheng Laboratory, Shenzhen 518055, China · School of Artificial Intelligence/School of Future Technology, Nanjing University of Information Science and Technology, Nanjing 210044, China

  17. Hierarchical Multi-Modal Planning for Fixed-Altitude Sparse Target Search and Sampling

    Mar 9, 2026Lingpeng Chen, Yuchen Zheng, Apple Pui-Yi Chui +2Informative Path PlanningUnderwater Robotics

  18. Navigating in Uncertain Environments with Heterogeneous Visibility

    Mar 3, 2026Jongann Lee, Melkior OrnikRobot NavigationInformative Path Planning

    University of Illinois Urbana-Champaign (UIUC), Urbana, IL 61801, USA.