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

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 →

• arXiv
• A* search algorithm
• Conflict-Based Lazy Search
• Conflict-Based Search
• Hugging Face
• Lazy Edged-based A*
• RRT-Connect

• paper
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