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ScheduleStream framework enables parallel arm motion for robots

By PulseAugur Editorial · [1 sources] ·

Researchers have developed ScheduleStream, a novel framework designed to enhance the planning and scheduling capabilities of multi-arm robots. This system addresses the computational challenges of controlling multiple robotic arms simultaneously by modeling temporal dynamics with hybrid durative actions. ScheduleStream aims to produce efficient schedules that allow for parallel arm motion, moving beyond traditional task and motion planning methods that typically restrict movement to a single arm at a time. The framework has demonstrated improved efficiency in simulations and has been applied to real-world bimanual robot tasks. AI

RANK_REASON This is a research paper detailing a new framework for robotic planning and scheduling. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

ScheduleStream framework enables parallel arm motion for robots

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This is a research paper detailing a new framework for robotic planning and scheduling. [lever_c_demoted from research: ic=1 ai=0.7]
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COVERAGE [1]

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

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

    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…

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