activity
20232025
most citedCan you text what is happening? Integrating pre-trained language encoders into trajectory prediction models for autonomous driving

12 citations · 19 across the 7 of their papers we have counts for

collaborators

7 papers

cs.HC2025

Visuo-Acoustic Hand Pose and Contact Estimation

Yuemin Mao, Uksang Yoo, Yunchao Yao +5

Accurately estimating hand pose and hand-object contact events is essential for robot data-collection, immersive virtual environments, and biomechanical analysis, yet remains chall…

cs.CV2025

Web2Grasp: Learning Functional Grasps from Web Images of Hand-Object Interactions

Hongyi Chen, Yunchao Yao, Yufei Ye +8

Functional grasping is essential for enabling dexterous multi-finger robot hands to manipulate objects effectively. Prior work largely focuses on power grasps, which only involve h…

cs.RO2024

Soft Robotic Dynamic In-Hand Pen Spinning

Yunchao Yao, Uksang Yoo, Jean Oh +2

Dynamic in-hand manipulation remains a challenging task for soft robotic systems that have demonstrated advantages in safe compliant interactions but struggle with high-speed dynam…

cs.RO2024

Automating Robot Failure Recovery Using Vision-Language Models With Optimized Prompts

Hongyi Chen, Yunchao Yao, Ruixuan Liu +2

Current robot autonomy struggles to operate beyond the assumed Operational Design Domain (ODD), the specific set of conditions and environments in which the system is designed to f…

cs.CV2023★ 7 cited

DeformGS: Scene Flow in Highly Deformable Scenes for Deformable Object Manipulation

Bardienus P. Duisterhof, Zhao Mandi, Yunchao Yao +8

Teaching robots to fold, drape, or reposition deformable objects such as cloth will unlock a variety of automation applications. While remarkable progress has been made for rigid o…

cs.CV2023

Occlusion-Aware 2D and 3D Centerline Detection for Urban Driving via Automatic Label Generation

David Paz, Narayanan E. Ranganatha, Srinidhi K. Srinivas +2

This research work seeks to explore and identify strategies that can determine road topology information in 2D and 3D under highly dynamic urban driving scenarios. To facilitate th…

cs.CV2023★ 12 cited

Can you text what is happening? Integrating pre-trained language encoders into trajectory prediction models for autonomous driving

Ali Keysan, Andreas Look, Eitan Kosman +4

In autonomous driving tasks, scene understanding is the first step towards predicting the future behavior of the surrounding traffic participants. Yet, how to represent a given sce…