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cs.RO2026
SCOPE: Skeleton Graph-Based Computation-Efficient Framework for Autonomous UAV Exploration
Kai Li, Shengtao Zheng, Linkun Xiu +4
Autonomous exploration in unknown environments is key for mobile robots, helping them perceive, map, and make decisions in complex areas. However, current methods often rely on fre…
cs.RO2025
Optimal Smooth Coverage Trajectory Planning for Quadrotors in Cluttered Environment
Duanjiao Li, Yun Chen, Ying Zhang +4
For typical applications of UAVs in power grid scenarios, we construct the problem as planning UAV trajectories for coverage in cluttered environments. In this paper, we propose an…
cs.RO2025
COMPASS: Confined-space Manipulation Planning with Active Sensing Strategy
Qixuan Li, Chen Le, Dongyue Huang +2
Manipulation in confined and cluttered environments remains a significant challenge due to partial observability and complex configuration spaces. Effective manipulation in such en…