Graph-of-Constraints Model Predictive Control for Reactive Multi-agent Task and Motion Planning
基于约束图的模型预测控制:用于反应性多智能体任务与运动规划
机构 * Department of Computer Science, Purdue University(计算机科学系,普渡大学)
专题命中 仿真与规划 :environment model(abstract);分类 cs.RO
AI总结 本文提出基于约束图的模型预测控制(GoC-MPC),用于解决多智能体任务与运动规划中的依赖几何约束序列问题,支持部分有序任务、动态智能体协调及扰动恢复,实现高效鲁棒的多智能体操作。
Comments 8 main content pages, 4 main content figures, camera ready version submitted to IEEE International Conference on Robotics and Automation (ICRA 2026)