Scalable multi-robot task allocation and coordination under signal temporal logic specifications

Published
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RobotToday Industry Briefing RobotToday Industry Briefing graphic: a blueprint-style humanoid robot outline with annotations for perception, actuation and mobility, next to the Industry Briefing wordmark. PERCEPTION ACTUATION MOBILITY ROBOTTODAY Industry Briefing Editor-curated robotics news from around the world HUMANOIDS/ INDUSTRIAL / DRONES / AI & RESEARCH RobotToday robottoday.com/industry-briefing
RobotToday Industry Briefing

Recent advancements in motion planning technology have highlighted a significant gap between simple objective tasks and complex requirements. While modern planners can efficiently handle basic tasks like collision avoidance and goal-reaching, their capabilities are limited when faced with more intricate demands. In contrast, signal temporal logic (STL) offers a framework for specifying complex requirements in motion planning. However, the implementation of STL-based algorithms encounters scalability challenges, particularly in scenarios involving large multi-robot systems. This disparity underscores the need for further research and development to enhance the scalability of motion planning solutions, enabling them to effectively manage more sophisticated tasks in dynamic environments.

Original report

Scalable multi-robot task allocation and coordination under signal temporal logic specifications

amazon.science · Amazon Science
Read at amazon.science

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