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English(EN) ScheduleStream: Temporal Planning with Samplers for GPU-Accelerated Multi-Arm Task and Motion Planning & Scheduling

ScheduleStream 框架支持机器人并行机械臂运动

研究人员开发了 ScheduleStream,一个旨在增强多臂机器人规划和调度能力的新型框架。该系统通过使用混合持续动作对时间动态进行建模,解决了同时控制多个机械臂的计算挑战。ScheduleStream 旨在生成能够实现并行机械臂运动的高效调度,超越了传统上通常限制一次只有一个机械臂移动的任务与运动规划方法。该框架在模拟中已证明了效率的提高,并已应用于现实世界的双臂机器人任务。 AI

排序理由 这是一篇详细介绍机器人规划和调度新框架的研究论文。[lever_c_demoted from research: ic=1 ai=0.7]

在 arXiv cs.AI 阅读 →

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ScheduleStream 框架支持机器人并行机械臂运动

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这是一篇详细介绍机器人规划和调度新框架的研究论文。[lever_c_demoted from research: ic=1 ai=0.7]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Caelan Garrett, Fabio Ramos ·

    ScheduleStream:使用采样器进行GPU加速的多臂任务与运动规划及调度的时间规划

    arXiv:2511.04758v2 Announce Type: replace-cross Abstract: Bimanual and humanoid robots are appealing because of their human-like ability to leverage multiple arms to efficiently complete tasks. However, controlling multiple arms at once is computationally challenging due to the g…