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20212025
most citedFlying in Highly Dynamic Environments with End-to-end Learning Approach

13 citations · 17 across the 6 of their papers we have counts for

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Showing 2023Show all

2 papers · 1 filter

cs.RO2023★ 1 cited

FAPP: Fast and Adaptive Perception and Planning for UAVs in Dynamic Cluttered Environments

Minghao Lu, Xiyu Fan, Han Chen +1

Obstacle avoidance for Unmanned Aerial Vehicles (UAVs) in cluttered environments is significantly challenging. Existing obstacle avoidance for UAVs either focuses on fully static e…

cs.RO2023

Learning Agile Flights through Narrow Gaps with Varying Angles using Onboard Sensing

Yuhan Xie, Minghao Lu, Rui Peng +1

This paper addresses the problem of traversing through unknown, tilted, and narrow gaps for quadrotors using Deep Reinforcement Learning (DRL). Previous learning-based methods reli…