Overview

Conflict-Based Search (CBS) coordinates agents by detecting a collision, branching on constraints that prevent it, and replanning affected agents individually; under standard assumptions, this can find optimal paths. Variants such as continuous-time CBS, SIPP-based planners, and anytime or bounded-gap search extend the method to asynchronous actions, non-unit costs, and limited computation. CBS is used on standard multi-agent pathfinding benchmark maps and in settings such as warehouse fleets, elevators, and multi-robot manipulation, while conflict-directed reasoning also appears in verified search. A central challenge is retaining strong guarantees as richer dynamics and online disturbances increase the cost of conflict detection and replanning.

Latest papers

CardsList

17 papers1 paper in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

  1. cuArms: GPU-Accelerated Conflict-Based Planning for Multi-Arm Manipulation

    Oct 26, 2026Philip Huang, Fabio Ramos, Jiaoyang Li +2Multi-Robot Motion PlanningMulti-Task Robotic Manipulation

  2. CORE: Conflict-Oriented Reasoning Elimination for Verifiable Language-Model Search

    Sep 30, 2026Siyu Song, Rui Xu, Jia Lin +2Efficient Language Model ReasoningLLM Reasoning

  3. A traffic management system for large and heterogeneous vehicles in narrow industrial environments

    Sep 9, 2026Alessandro Bonetti, Silvia Proia, Simone Guidetti +1Robot NavigationRobust MAPF

  4. AOC-CBS: Anytime-Optimal Continuous-time Conflict-Based Search for Generalised Multi-Agent Path Finding

    Aug 8, 2026Alvin Combrink, Sabino Francesco Roselli, Martin FabianRobust MAPFConflict-Based Search

  5. Embodying Multi-Hand Manipulation Policies by Searching the Assignment and Null Spaces

    Jul 24, 2026Yorai Shaoul, Jiaoyang Li, Maxim LikhachevMulti-Robot Motion PlanningConstrained Motion Planning

  6. Model-Based Diffusion Optimal Control for Multi-Robot Motion Planning

    Jul 14, 2026Zhilin He, Yorai Shaoul, Jiaoyang LiMulti-Robot Motion PlanningConstrained Motion Planning

  7. Conflict-Based Lazy Search for Fast Multi-Manipulator Planning

    Jul 5, 2026Dongliang Zheng, Zhipeng Wang, Siqi Wang +4Multi-Robot Motion PlanningConflict-Based Search

  8. Dual-Informed Vertical Expansion for Multi-Objective Node Selection in Anytime Conflict-Based Search

    Jun 30, 2026Willem van Osselaer, Jiarui Li, Meshal Alharbi +1Branch and BoundTree Search

  9. Multi-Agent Pathfinding with Non-Unit Integer Edge Costs via Enhanced Conflict-Based Search and Graph Discretization

    Apr 7, 2026Hongkai Fan, Qinjing Xie, Bo Ouyang +4Safe Interval Path PlanningMulti-Agent Path Finding

  10. Certificate-Driven Closed-Loop Multi-Agent Path Finding with Inheritable Factorization

    Apr 1, 2026Jiarui Li, Runyu Zhang, Gioele ZardiniMulti-Agent Path FindingConflict-Based Search

  11. Conflict-Based Search for Multi Agent Path Finding with Asynchronous Actions

    Mar 19, 2026Xuemian Wu, Shizhe Zhao, Zhongqiang RenMulti-Agent Path FindingConflict-Based Search

  12. Multi-Robot Coordination for Planning under Context Uncertainty

    Mar 14, 2026Pulkit Rustagi, Kyle Hollins Wray, Sandhya SaisubramanianMulti-Robot Motion PlanningMulti-Robot Coordination

  13. Multi-Robot Trajectory Planning via Constrained Bayesian Optimization and Local Cost Map Learning with STL-Based Conflict Resolution

    Mar 6, 2026Sourav Raxit, Abdullah Al Redwan Newaz, Jose Fuentes +3STL Motion PlanningMulti-Robot Motion Planning

  14. Conflict-Based Search for Multi-Agent Path Finding with Elevators

    Feb 24, 2026Haitong He, Xuemian Wu, Shizhe Zhao +1Conflict-Based SearchMulti-Agent Path Finding

  15. Adaptive-Horizon Conflict-Based Search for Closed-Loop Multi-Agent Path Finding

    Feb 12, 2026Jiarui Li, Federico Pecora, Runyu Zhang +1Conflict-Based SearchMulti-Agent Path Finding