activity
20242026
most citedOptimizing Base Placement of Surgical Robot: Kinematics Data-Driven Approach by Analyzing Working Pattern

1 citations · 1 across the 5 of their papers we have counts for

collaborators

10 papers

cs.CV2026

SD-GRPO: Verifiable Segment Decomposition for Long-Form Vision-Language Generation

Hyunwoong Kim, Seongeun Lee, Hannah Yun +2

Group Relative Policy Optimization (GRPO) and its variants, originally developed for Large Language Models (LLMs), have recently been applied to Multimodal LLMs and produced strong…

cs.CV2026

GLINT: Sparsely Gated Vision-Language Alignment for Fine-Grained Radiology Representations

Jonggwon Park, Seongeun Lee, Junhyun Park +6

Vision-language models (VLMs) for radiology have emerged as a scalable paradigm by leveraging image-report pairs naturally produced in clinical workflows. However, this pairing rev…

cs.RO2026

SSTL: Self-Sensing Tendon Loop for Hysteresis Modeling and Compensation in Tendon-Sheath Mechanisms

Myeongbo Park, Junhyun Park, Ihsan Ullah +2

Flexible endoscopic robots enable minimally invasive access through natural orifices, but their control accuracy is limited by configuration-dependent hysteresis in the tendon-shea…

cs.RO2026

MarUco: A Markerless 6D Pose Estimation Framework for Closed-Loop Control of Surgical Continuum Manipulators

Junhyun Park, Chunggil An, Myeongbo Park +3

Flexible endoscopic continuum manipulators offer high dexterity and access to complex anatomy, but nonlinear hysteresis limits feedforward control accuracy. Closed-loop control can…

cs.RO2025

Vibration-Assisted Hysteresis Mitigation for Achieving High Compensation Efficiency

Myeongbo Park, Chunggil An, Junhyun Park +2

Tendon-sheath mechanisms (TSMs) are widely used in minimally invasive surgical (MIS) applications, but their inherent hysteresis-caused by friction, backlash, and tendon elongation…

cs.CV2025

OFF-CLIP: Improving Normal Detection Confidence in Radiology CLIP with Simple Off-Diagonal Term Auto-Adjustment

Junhyun Park, Chanyu Moon, Donghwan Lee +2

Contrastive Language-Image Pre-Training (CLIP) has enabled zero-shot classification in radiology, reducing reliance on manual annotations. However, conventional contrastive learnin…