2023 KAIST Annual R&D Report

Our paper titled “Confidence-Based Robot Navigation Under Sensor Occlusion with Deep Reinforcement Learning” was selected as one of the KAIST’s Research Highlights on the 2023 KAIST Annual R&D Report. This paper proposed a novel RL-based navigation method under sensor occlusion.

Confidence-Based Robot Navigation Under Sensor Occlusion with Deep Reinforcement Learning
Hyeongyeol Ryu, Minsung Yoon, Daehyung Park, and Sung-Eui Yoon
TopIEEE International Conference on Robotics and Automation (ICRA), 2022
Outstanding navigation paper finalist
Code (zip)

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