5 papers
Learning Dexterous Grasping from Sparse Taxonomy Guidance
Juhan Park, Taerim Yoon, Seungmin Kim +10
Dexterous manipulation requires planning a grasp configuration suited to the object and task, which is then executed through coordinated multi-finger control. However, specifying g…
Retrieve, Don't Retrain: Extending Vision Language Action Models to New Tasks at Test Time
Jeongeun Park, Juhan Park, Taekyung Kim +3
Extending a vision-language-action (VLA) policy to a new task typically requires task-specific teleoperated demonstrations and per-task fine-tuning, making adaptation costly in bot…
LEGO: Latent-space Exploration for Geometry-aware Optimization of Humanoid Kinematic Design
Jihwan Yoon, Taemoon Jeong, Jeongeun Park +5
Designing robot morphologies and kinematics has traditionally relied on human intuition, with little systematic foundation. Motion-design co-optimization offers a promising path to…
A Unified Framework for Motion Reasoning and Generation in Human Interaction
Jeongeun Park, Sungjoon Choi, Sangdoo Yun
Recent advancements in large language models (LLMs) have significantly improved their ability to generate natural and contextually relevant text, enabling more human-like AI intera…
Towards Embedding Dynamic Personas in Interactive Robots: Masquerading Animated Social Kinematics (MASK)
Jeongeun Park, Taemoon Jeong, Hyeonseong Kim +7
This paper presents the design and development of an innovative interactive robotic system to enhance audience engagement using character-like personas. Built upon the foundations…