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New Conflict-Based Lazy Search algorithm speeds up multi-manipulator planning

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a new planning algorithm called Conflict-Based Lazy Search (CBLS) designed to improve the efficiency of multi-manipulator tasks. CBLS builds upon the existing Conflict-Based Search (CBS) algorithm by incorporating precomputation and a lazy search strategy. The algorithm enhances CBS with a lazily evaluated graph and a novel Lazy Edged-based A* (LEA*) method for single-manipulator pathfinding, aiming to reduce computational bottlenecks. AI

IMPACT This new algorithm could significantly improve the efficiency and capabilities of robotic systems in complex, multi-manipulator tasks.

RANK_REASON The cluster contains a research paper detailing a new algorithm. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

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

New Conflict-Based Lazy Search algorithm speeds up multi-manipulator planning

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The cluster contains a research paper detailing a new algorithm. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Dongliang Zheng, Zhipeng Wang, Siqi Wang, Yuxi Lu, Bin He, Hesheng Wang, Panagiotis Tsiotras ·

    Conflict-Based Lazy Search for Fast Multi-Manipulator Planning

    arXiv:2607.04124v1 Announce Type: cross Abstract: Employing multiple manipulators can boost efficiency and accomplish tasks that a single manipulator cannot do. However, real-time planning for multiple manipulators in a cluttered workspace still poses significant challenges for p…

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