20 citations · 70 across the 9 of their papers we have counts for
5 papers · 1 filter
Mapless Navigation: Learning UAVs Motion forExploration of Unknown Environments
Sunggoo Jung, David Hyunchul Shim
This study presents a new methodology for learning-based motion planning for autonomous exploration using aerial robots. Through the reinforcement learning method of learning throu…
Game-Theoretic Model Predictive Control with Data-Driven Identification of Vehicle Model for Head-to-Head Autonomous Racing
Chanyoung Jung, Seungwook Lee, Hyunki Seong +2
Resolving edge-cases in autonomous driving, head-to-head autonomous racing is getting a lot of attention from the industry and academia. In this study, we propose a game-theoretic…
Robust Collision-free Lightweight Aerial Autonomy for Unknown Area Exploration
Sunggoo Jung, Hanseob Lee, David Hyunchul Shim +1
Collision-free path planning is an essential requirement for autonomous exploration in unknown environments, especially when operating in confined spaces or near obstacles. This st…
NeBula: Quest for Robotic Autonomy in Challenging Environments; TEAM CoSTAR at the DARPA Subterranean Challenge
Ali Agha, Kyohei Otsu, Benjamin Morrell +69
This paper presents and discusses algorithms, hardware, and software architecture developed by the TEAM CoSTAR (Collaborative SubTerranean Autonomous Robots), competing in the DARP…
BAXTER: Bi-modal Aerial-Terrestrial Hybrid Vehicle for Long-endurance Versatile Mobility: Preprint Version
Hyungho Chris Choi, Inhwan Wee, Micah Corah +5
Unmanned aerial vehicles are rapidly evolving within the field of robotics. However, their performance is often limited by payload capacity, operational time, and robustness to imp…