Carnegie Mellon University · RCHI Lab

Qihao (Keith) Lin 林祺皓

Hi! I am an M.S. student at Carnegie Mellon University working on assistive robotics. My research interests lie in robot perception and manipulation, machine learning, and human-robot interaction.

CV Email

Qihao Keith Lin portrait — CMU M.S. student, Robotic Caregiving and Human Interaction Lab.

Research interests

Robot perception, manipulation, learning, and human-robot interaction.

Assistive robotics

Robot systems for caregiving and physical assistance, with an emphasis on robust interaction in real environments.

Visual-tactile perception and manipulation

Combining visual and tactile signals for transparent objects, deformable materials, and reconstruction tasks.

Machine learning for accessible interaction

Learning-based systems for sign-language translation, communication access, and human-centered interfaces.

I am an M.S. student at Carnegie Mellon University and a member of the Robotic Caregiving and Human Interaction Lab, advised by Zackory Erickson. I received my B.S. in Aerospace Engineering from Sun Yat-sen University, where I worked on robotic perception and manipulation with the Robotics and Intelligent Sensing Lab.

Selected work

Research projects

Selected work from assistive robotics, visual-tactile sensing, deformable object manipulation, and sign-language translation.

Robot-assisted bedding manipulation setup

CMU RCHI Lab

Assistive robotics for physical interaction

Assistive robot perception and manipulation in real physical environments.

Research at the Robotic Caregiving and Human Interaction Lab on assistive robotics, robot perception and manipulation, and human-robot interaction.

RCHI Lab

Visual-tactile transparent fragment contour estimation pipeline

Visual-tactile perception

Transparent fragment reassembly

Visual-tactile fusion for transparent fragment contour estimation and reassembly.

A visual-tactile framework for transparent fragment contour estimation and autonomous reassembly, supported by TransFrag27K, GelSight tactile sensing, material classification, and contour matching.

Paper Code

Accessibility AI systems

Standardized-lexicon-scale Chinese Sign Language translation

Standardized-lexicon-scale Chinese Sign Language translation.

Industry work on a Chinese Sign Language translation system connecting a multimodal computational CSL dictionary, CSL-to-text recognition, text-to-CSL rule-assembled signer rendering, and edge-deployable local interaction. The public-facing scope is around 8,000 CSL vocabulary items.

System Article Article