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cs.RO2026

A Hierarchical Coverage Path Planning Algorithm for Unknown Environments

Zongyuan Shen, Haodong Liu, Gao Wang +4

This paper presents an online coverage path planning algorithm for unknown environments. During navigation, the initially unknown search area is progressively decomposed into disco…

cs.RO2026

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms

Zongyuan Shen, Shalabh Gupta, Shancheng Zhao +7

Motion planning in dynamic environments is a fundamental problem in robotics, aiming to generate safe and efficient paths, trajectories, or control actions in the presence of movin…

cs.RO2026

Coverage Path Planning: Classical Foundations, Recent Advances, and Future Directions

Zongyuan Shen, Shalabh Gupta, Shancheng Zhao +6

Coverage path planning (CPP) is a fundamental problem in robot motion planning, whose aim is to produce robot trajectories that provide complete coverage of target workspaces while…

cs.RO2026

Motion Planning in Dynamic Environments: A Survey from Classical to Modern Methods

Zongyuan Shen, Yaming Ou, Shalabh Gupta +6

Motion planning in dynamic environments requires robots to continuously adapt their paths in response to environmental changes for safe and uninterrupted navigation. While many sur…

cs.RO2025

An Underwater, Fault-Tolerant, Laser-Aided Robotic Multi-Modal Dense SLAM System for Continuous Underwater In-Situ Observation

Yaming Ou, Junfeng Fan, Chao Zhou +5

Existing underwater SLAM systems are difficult to work effectively in texture-sparse and geometrically degraded underwater environments, resulting in intermittent tracking and spar…