AI RESEARCH
RoboPARA: Dual-Arm Robot Planning with Parallel Allocation and Recomposition Across Tasks
arXiv CS.AI
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ArXi:2506.06683v4 Announce Type: replace-cross Dual-arm robots play a crucial role in improving efficiency and flexibility in complex multitasking scenarios. While existing methods have achieved promising results in task planning, they often fail to fully optimize task parallelism, limiting the potential of dual-arm collaboration. To address this issue, we propose RoboPARA, a novel large language model (LLM)-driven framework for dual-arm task parallelism planning.