collaborators

7 papers

cs.RO2026

Think Like a World Model, Act Like a VLA: Distilling World-Model Representations into Compact Robot Policies

Trung Dao, Sankalp Yamsani, Jaden Park +2

Vision-Language-Action (VLA) models map observations to actions with no objective that accounts for how the world responds, so their robustness is bounded primarily by data coverag…

cs.RO2026

Kitchen Robotic Manipulation utilizing Foundation Models

Myung-Hwan Jeon, Sankalp Yamsani, Joohyung Kim

Deploying robots in everyday human environments requires perception systems that are both robust and adaptable to diverse, dynamic conditions. In this work, we present a modular pe…

cs.RO2026

Tactile-Proprioceptive Sensor Fusion for Contact Wrench Estimation in Whole-Body Physical Human-Robot Interaction

Junha Min, Junghyeon Ma, Jiwung Kwon +3

Direct physical guidance is a natural means of teaching and interacting with robots, and robotic skins make a key contribution by enabling sensitive contact sensing and localizatio…

cs.RO2026

Gait-Level Motion Design and Evaluation Framework for Grasp-Based Dynamic Locomotion in Microgravity

Chaerim Moon, Joohyung Kim, Justin K. Yim

Locomotion in microgravity often relies on sparsely and irregularly arranged anchors, motivating grasp-based mobility with multiple limbs. In this setting, dynamic traversal requir…

cs.RO2026

TRIP-Bag: A Portable Teleoperation System for Plug-and-Play Robotic Arms and Leaders

Noboru Myers, Sankalp Yamsani, Obin Kwon +1

Large scale, diverse demonstration data for manipulation tasks remains a major challenge in learning-based robot policies. Existing in-the-wild data collection approaches often rel…

cs.RO2025

CHILD (Controller for Humanoid Imitation and Live Demonstration): a Whole-Body Humanoid Teleoperation System

Noboru Myers, Obin Kwon, Sankalp Yamsani +1

Recent advances in teleoperation have demonstrated robots performing complex manipulation tasks. However, existing works rarely support whole-body joint-level teleoperation for hum…

cs.RO2025

PAPRLE (Plug-And-Play Robotic Limb Environment): A Modular Ecosystem for Robotic Limbs

Obin Kwon, Sankalp Yamsani, Noboru Myers +5

We introduce PAPRLE (Plug-And-Play Robotic Limb Environment), a modular ecosystem that enables flexible placement and control of robotic limbs. With PAPRLE, a user can change the a…