Motion Planning in Dynamic Environments: A Survey from Classical to Modern Methods
Robotics
Summary
arXiv:2606.02677v1 Announce Type: new Abstract: Motion planning in dynamic environments requires robots to continuously adapt their paths in response to environmental changes for safe and uninterrupted navigation. While many surveys have reviewed planning in static settings, systematic reviews focused on dynamic environments remain limited. This paper presents a comprehensive survey of 138 works, primarily published between 2015 and 2025, spanning both classical and learning-based approaches.
Why It Matters
This Robotics development accelerates factory automation and intensifies competition among Asian robotics makers. For Asia, it is a signal worth tracking: it shapes who supplies, who scales, and who sets the standard over the next five years.
Key Facts
- SectorRobotics
- Market—
- ImpactLow (42/100)
- SignalResearch