7 citations · 12 across the 13 of their papers we have counts for
8 papers · 1 filter
Fully Distributed Informative Planning for Environmental Learning with Multi-Robot Systems
Dohyun Jang, Jaehyun Yoo, Clark Youngdong Son +1
This paper proposes a cooperative environmental learning algorithm working in a fully distributed manner. A multi-robot system is more effective for exploration tasks than a single…
Aerial Chasing of a Dynamic Target in Complex Environments
Boseong Felipe Jeon, Changhyeon Kim, Hojoon Shin +1
Rapidly generating an optimal chasing motion of a drone to follow a dynamic target among obstacles is challenging due to numerical issues rising from multiple conflicting objective…
Online Distributed Trajectory Planning for Quadrotor Swarm with Feasibility Guarantee using Linear Safe Corridor
Jungwon Park, Dabin Kim, Gyeong Chan Kim +2
This paper presents a new online multi-agent trajectory planning algorithm that guarantees to generate safe, dynamically feasible trajectories in a cluttered environment. The propo…
Topology-Guided Path Planning for Reliable Visual Navigation of MAVs
Dabin Kim, Gyeong Chan Kim, Youngseok Jang +1
Visual navigation has been widely used for state estimation of micro aerial vehicles (MAVs). For stable visual navigation, MAVs should generate perception-aware paths which guarant…
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…
Learning a Domain-Agnostic Visual Representation for Autonomous Driving via Contrastive Loss
Dongseok Shim, H. Jin Kim
Deep neural networks have been widely studied in autonomous driving applications such as semantic segmentation or depth estimation. However, training a neural network in a supervis…