collaborators

6 papers

cs.RO2026

EgoInfinity: A Web-Scale 4D Hand-Object Interaction Data Engine for Any-View Robot Retargeting and Video-to-Action Robot Learning

Gaotian Wang, Kejia Ren, Andrew Morgan +4

Internet videos constitute the largest reservoir of embodied human manipulation knowledge, yet converting arbitrary RGB footage into actionable robot training data remains a major…

cs.RO2026

ManipulationNet: An Infrastructure for Benchmarking Real-World Robot Manipulation with Physical Skill Challenges and Embodied Multimodal Reasoning

Yiting Chen, Kenneth Kimble, Edward H. Adelson +20

Dexterous manipulation enables robots to purposefully alter the physical world, transforming them from passive observers into active agents in unstructured environments. This capab…

cs.RO2025

Wearable Roller Rings to Augment In-Hand Manipulation through Active Surfaces

Hayden Webb, Podshara Chanrungmaneekul, Shenli Yuan +1

In-hand manipulation is a crucial ability for reorienting and repositioning objects within grasps. The main challenges in this are not only the complexity of the computational mode…

cs.RO2025

rt-RISeg: Real-Time Model-Free Robot Interactive Segmentation for Active Instance-Level Object Understanding

Howard H. Qian, Yiting Chen, Gaotian Wang +2

Successful execution of dexterous robotic manipulation tasks in new environments, such as grasping, depends on the ability to proficiently segment unseen objects from the backgroun…

cs.RO2025

Robust Peg-in-Hole Assembly under Uncertainties via Compliant and Interactive Contact-Rich Manipulation

Yiting Chen, Kenneth Kimble, Howard H. Qian +3

Robust and adaptive robotic peg-in-hole assembly under tight tolerances is critical to various industrial applications. However, it remains an open challenge due to perceptual and…

cs.RO2025

ARC-Calib: Autonomous Markerless Camera-to-Robot Calibration via Exploratory Robot Motions

Podshara Chanrungmaneekul, Yiting Chen, Joshua T. Grace +2

Camera-to-robot (also known as eye-to-hand) calibration is a critical component of vision-based robot manipulation. Traditional marker-based methods often require human interventio…