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Seunghwan Kim

6 accepted papers

2026

Real-Time Communication Relay Planning With a Low-Complexity Network Quality Prediction Model in Dynamic Indoor Missions

RA-L 2026

Relay robots are crucial for extending communication when a client robot performs long-range missions. However, existing network quality prediction models and relay planning methods often struggle with real-time operation due to their high computational cost and poor adaptability to frequently chang

Cited by 0SourceScholar
2026

Real-Time Communication Relay Planning with a Low-Complexity Network Quality Prediction Model in Dynamic Indoor Missions

ICRA 2026poster

Relay robots are crucial for extending communication when a client robot performs long-range missions. However, existing network quality prediction models and relay planning methods often struggle with real-time operation due to their high computational cost and poor adaptability to frequently chang…

Cited by 0SourceScholar
2026

Vision-Based Autonomous Drone Landing on Moving Platforms With Uncertain Motion via Deep Reinforcement Learning

RA-L 2026

This paper addresses vision-based autonomous landing of quadrotor drones on moving platforms with uncertain motion. Vision is attractive due to its low weight, low cost, and ability to provide direct relative observations without global reference frames. However, traditional visual landing relies on

Cited by 0SourceScholar
2025

Gas Source Localization in Unknown Indoor Environments Using Dual-Mode Information-Theoretic Search

RA-L 2025

This letter proposes a dual-mode planner for localizing gas sources using a mobile sensor in unknown indoor spaces. The complexity of indoor environments creates constraints on search paths, leading to situations where no valid paths can be generated, which are termed as dead end in this letter. The

Cited by 3SourceScholar
2024

Design of a Front-enveloping Powered Exoskeleton Considering Optimal Distribution of Actuating Torques and Center of Mass

ICRA 2024poster

Traditionally, powered exoskeletons have predominantly featured a back-enveloping design due to its simplicity in both implementation and user donning. However, this design results in a backward shift of the center of mass (CoM) in the sagittal plane. This paper identifies the limitations of existin…

Cited by 2SourceScholar
2023

Misalign, Contrast then Distill: Rethinking Misalignments in Language-Image Pre-training

ICCV 2023poster

Contrastive Language-Image Pretraining has emerged as a prominent approach for training vision and text encoders with uncurated image-text pairs from the web. To enhance data-efficiency, recent efforts have introduced additional supervision terms that involve random-augmented views of the image. How…

Cited by 8PDFcodeScholar