3 citations · 6 across the 7 of their papers we have counts for
7 papers
No More Potentially Dynamic Objects: Static Point Cloud Map Generation based on 3D Object Detection and Ground Projection
Soojin Woo, Donghwi Jung, Seong-Woo Kim
In this paper, we propose an algorithm to generate a static point cloud map based on LiDAR point cloud data. Our proposed pipeline detects dynamic objects using 3D object detectors…
3D Operation of Autonomous Excavator based on Reinforcement Learning through Independent Reward for Individual Joints
Yoonkyu Yoo, Donghwi Jung, Seong-Woo Kim
In this paper, we propose a control algorithm based on reinforcement learning, employing independent rewards for each joint to control excavators in a 3D space. The aim of this res…
MuNES: Multifloor Navigation Including Elevators and Stairs
Donghwi Jung, Chan Kim, Jae-Kyung Cho +1
We propose a scheme called MuNES for single mapping and trajectory planning including elevators and stairs. Optimized multifloor trajectories are important for optimal interfloor m…
SeRO: Self-Supervised Reinforcement Learning for Recovery from Out-of-Distribution Situations
Chan Kim, Jaekyung Cho, Christophe Bobda +2
Robotic agents trained using reinforcement learning have the problem of taking unreliable actions in an out-of-distribution (OOD) state. Agents can easily become OOD in real-world…
Reinforcement Learning of Display Transfer Robots in Glass Flow Control Systems: A Physical Simulation-Based Approach
Hwajong Lee, Chan Kim, Seong-Woo Kim
A flow control system is a critical concept for increasing the production capacity of manufacturing systems. To solve the scheduling optimization problem related to the flow contro…
LoRCoN-LO: Long-term Recurrent Convolutional Network-based LiDAR Odometry
Donghwi Jung, Jae-Kyung Cho, Younghwa Jung +2
We propose a deep learning-based LiDAR odometry estimation method called LoRCoN-LO that utilizes the long-term recurrent convolutional network (LRCN) structure. The LRCN layer is a…