36 citations · 38 across the 5 of their papers we have counts for
4 papers · 1 filter
Perception-Aware Autonomous Exploration in Feature-Limited Environments
Moji Shi, Rajitha de Silva, Hang Yu +2
Autonomous exploration in unknown environments typically relies on onboard state estimation for localisation and mapping. Existing exploration methods primarily maximise coverage e…
Depth Transfer: Learning to See Like a Simulator for Real-World Drone Navigation
Hang Yu, Christophe De Wagter, Guido C. H. E de Croon
Sim-to-real transfer is a fundamental challenge in robot reinforcement learning. Discrepancies between simulation and reality can significantly impair policy performance, especiall…
MAVRL: Learn to Fly in Cluttered Environments with Varying Speed
Hang Yu, Christophe De Wagter, Guido C. H. E de Croon
Many existing obstacle avoidance algorithms overlook the crucial balance between safety and agility, especially in environments of varying complexity. In our study, we introduce an…
AvoidBench: A high-fidelity vision-based obstacle avoidance benchmarking suite for multi-rotors
Hang Yu, Guido C. H. E de Croon, Christophe De Wagter
Obstacle avoidance is an essential topic in the field of autonomous drone research. When choosing an avoidance algorithm, many different options are available, each with their adva…