3 papers
cs.RO2026
Communication-Free Collective Navigation for a Swarm of UAVs via LiDAR-Based Deep Reinforcement Learning
Myong-Yol Choi, Hankyoul Ko, Hanse Cho +4
This paper presents a deep reinforcement learning (DRL) based controller for collective navigation of unmanned aerial vehicle (UAV) swarms in communication-denied environments, ena…
cs.RO2024
Enhancing Exploration Efficiency using Uncertainty-Aware Information Prediction
Seunghwan Kim, Heejung Shin, Gaeun Yim +2
Autonomous exploration is a crucial aspect of robotics, enabling robots to explore unknown environments and generate maps without prior knowledge. This paper proposes a method to e…
cs.RO2024
Design and Identification of Keypoint Patches in Unstructured Environments
Taewook Park, Seunghwan Kim, Hyondong Oh
Reliable perception of targets is crucial for the stable operation of autonomous robots. A widely preferred method is keypoint identification in an image, as it allows direct mappi…