Scholar
Ziang Liu
Google Scholar ID: WfeXbrEAAAAJ
PhD Student in Computer Science, Cornell University
Citations & Impact
Citations
222
H-index
10
i10-index
10
Publications
17
Co-authors
8
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Publications:
- - Learning to Design 3D Printable Adaptations on Everyday Objects for Robot Manipulation, ICRA 2024
- - Robot-assisted Inside-mouth Bite Transfer using Robust Mouth Perception and Physical Interaction-Aware Control, HRI 2024
- - Diffusion Co-Policy for Synergistic Human-Robot Collaborative Tasks, RA-L
- - Model-Based Control with Sparse Neural Dynamics, NeurIPS 2023
- - Learning to Design and Use Tools for Robotic Manipulation, CoRL 2023
- - It Takes Two: Learning to Plan for Human-Robot Cooperative Carrying, ICRA 2023
- Other Academic Achievements:
- - Selected as a Siebel Scholar, 2023.
Research Experience
- Research Assistant:
- - Assistive Robotics and Manipulation Lab (ARM), May 2022 – Sep 2022, Stanford University, Advised by Prof. Monroe Kennedy III, Project: Human-Robot Collaborative Carrying.
- - Stanford Vision and Learning Lab (SVL), Aug 2021 – Present, Stanford University, Advised by Prof. Jiajun Wu and Prof. Yunzhu Li.
Education
- M.S. in Computer Science, 2023, Stanford University; B.S. in Computer Science, 2021, University of Southern California; B.S. in Applied and Computational Mathematics, 2021, University of Southern California.
Background
- Research Interests: Robot Learning, Robot Manipulation, Assistive Robotics, Cognitive Science, Human-Robot Interaction, Deep Reinforcement Learning, Computer Vision, Motion Planning. Biography: PhD student in Computer Science at Cornell University, advised by Professor Tapomayukh Bhattacharjee. Goal is to build robots that perceive, understand, reason, and interact in the physical world to better assist people with day-to-day tasks.
Miscellany
- Hobbies: Not provided in detail.
