3 citations · 5 across the 5 of their papers we have counts for
6 papers
DHRL: A Graph-Based Approach for Long-Horizon and Sparse Hierarchical Reinforcement Learning
Seungjae Lee, Jigang Kim, Inkyu Jang +1
Hierarchical Reinforcement Learning (HRL) has made notable progress in complex control tasks by leveraging temporal abstraction. However, previous HRL algorithms often suffer from…
Robust and Recursively Feasible Real-Time Trajectory Planning in Unknown Environments
Inkyu Jang, Dongjae Lee, Seungjae Lee +1
Motion planners for mobile robots in unknown environments face the challenge of simultaneously maintaining both robustness against unmodeled uncertainties and persistent feasibilit…
Real-Time Motion Planning of a Hydraulic Excavator using Trajectory Optimization and Model Predictive Control
Dongjae Lee, Inkyu Jang, Jeonghyun Byun +2
Automation of excavation tasks requires real-time trajectory planning satisfying various constraints. To guarantee both constraint feasibility and real-time trajectory re-plannabil…
Stability and Robustness Analysis of Plug-Pulling using an Aerial Manipulator
Jeonghyun Byun, Dongjae Lee, Hoseong Seo +3
In this paper, an autonomous aerial manipulation task of pulling a plug out of an electric socket is conducted, where maintaining the stability and robustness is challenging due to…
Fail-safe Flight of a Fully-Actuated Quadcopter in a Single Motor Failure
Seung Jae Lee, Inkyu Jang, H. Jin Kim
In this paper, we introduce a new quadcopter fail-safe flight solution that can perform the same four controllable degrees-of-freedom flight as a regular multirotor even when a sin…
Efficient Multi-Agent Trajectory Planning with Feasibility Guarantee using Relative Bernstein Polynomial
Jungwon Park, Junha Kim, Inkyu Jang +1
This paper presents a new efficient algorithm which guarantees a solution for a class of multi-agent trajectory planning problems in obstacle-dense environments. Our algorithm comb…