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 planning algorithms. This article proposes a new planning algorithm called Conflict-Based Lazy Search (CBLS) for multimanipulator planning. CBLS is built on Conflict-Based Search (CBS), an efficient multiagent pathfinding (MAPF) algorithm that has shown an order of magnitude speedup over previous approaches [1], [2]. CB
The increasing complexity of robotic tasks and the drive for greater automation in industrial and logistical settings necessitate more efficient multi-robot coordination algorithms.
Improved multi-manipulator planning algorithms like CBLS are critical for advancing automation, enabling more complex assembly lines, better logistics, and more capable robotic systems in various industries.
This advancement provides a method for real-time planning for multiple manipulators, potentially overcoming a significant bottleneck in deploying advanced robotic systems in cluttered environments.
- · Robotics manufacturers
- · Logistics and e-commerce
- · Automated manufacturing industries
- · AI/robotics research institutions
- · Companies reliant on single-manipulator solutions
- · Legacy automation providers without multi-robot capabilities
Multi-robot systems become more efficient and capable of tackling harder problems in real-world scenarios.
This leads to accelerated adoption of multi-robot automation across various industries, impacting labor requirements and productivity.
The increased sophistication of multi-robot systems could open doors for entirely new applications in complex environments like space exploration or disaster relief, previously deemed infeasible.
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Read at arXiv cs.AI