Zobrazeno 1 - 10
of 769
pro vyhledávání: '"Kim, Seong Woo"'
Autor:
Woo, Soojin, Kim, Seong-Woo
In vision-based robot localization and SLAM, Visual Place Recognition (VPR) is essential. This paper addresses the problem of VPR, which involves accurately recognizing the location corresponding to a given query image. A popular approach to vision-b
Externí odkaz:
http://arxiv.org/abs/2410.19341
Solar vehicles, which simultaneously produce and consume energy, require meticulous energy management. However, potential users often feel uncertain about their operation compared to conventional vehicles. This study presents a simulator designed to
Externí odkaz:
http://arxiv.org/abs/2410.17712
In order to enable autonomous navigation in underwater environments, a map needs to be created in advance using a Simultaneous Localization and Mapping (SLAM) algorithm that utilizes sensors like a sonar. At this time, loop closure is employed to red
Externí odkaz:
http://arxiv.org/abs/2409.14020
Autor:
Kim, Chan, Kim, Keonwoo, Oh, Mintaek, Baek, Hanbi, Lee, Jiyang, Jung, Donghwi, Woo, Soojin, Woo, Younkyung, Tucker, John, Firoozi, Roya, Seo, Seung-Woo, Schwager, Mac, Kim, Seong-Woo
Large language models (LLMs) have shown significant potential in guiding embodied agents to execute language instructions across a range of tasks, including robotic manipulation and navigation. However, existing methods are primarily designed for sta
Externí odkaz:
http://arxiv.org/abs/2409.10027
Autor:
Shin, Soohyun, Evetts, Trevor, Saylor, Hunter, Kim, Hyunji, Woo, Soojin, Rhee, Wonhwha, Kim, Seong-Woo
In recent years, quadruped robots have attracted significant attention due to their practical advantages in maneuverability, particularly when navigating rough terrain and climbing stairs. As these robots become more integrated into various industrie
Externí odkaz:
http://arxiv.org/abs/2408.17066
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 and projects points of dynamic objects onto the ground. Typically, po
Externí odkaz:
http://arxiv.org/abs/2407.01073
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 research is to address the challenges associated with achieving precise c
Externí odkaz:
http://arxiv.org/abs/2406.19848
We propose a scheme called MuNES for single mapping and trajectory planning including elevators and stairs. Optimized multifloor trajectories are important for optimal interfloor movements of robots. However, given two or more options of moving betwe
Externí odkaz:
http://arxiv.org/abs/2402.04535
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 environments because it is almost impossible for them to visit and lea
Externí odkaz:
http://arxiv.org/abs/2311.03651
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 control with the aim of improving productivity, existing methods depend on a
Externí odkaz:
http://arxiv.org/abs/2310.07981