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Haozhi Qi's Homepage
CV & Google Scholar & GitHub & Twitter I am a Research Scientist at Amazon Frontier AI & Robotics (FAR) and an incoming Assistant Professor in the Computer Science Department at UChicago. My research lies at the intersection of robot learning, computer vision, and tactile sensing. My Ph.D. thesis focused on Multisensory Dexterity for Robotics. I received my Ph.D. from UC Berkeley, where I worked with Prof. Yi Ma and Prof. Jitendra Malik. I received my Bachelor's degree from Hong Kong University of Science and Technology (HKUST), where I was advised by Prof. Chi-Keung Tang. I also spent two years at Microsoft Research Asia (MSRA), working on computer vision with Dr. Jifeng Dai and Dr. Yichen Wei.
Ours
GT
Haozhi Qi
Email: haozhi AT uchicago.eduCV & Google Scholar & GitHub & Twitter I am a Research Scientist at Amazon Frontier AI & Robotics (FAR) and an incoming Assistant Professor in the Computer Science Department at UChicago. My research lies at the intersection of robot learning, computer vision, and tactile sensing. My Ph.D. thesis focused on Multisensory Dexterity for Robotics. I received my Ph.D. from UC Berkeley, where I worked with Prof. Yi Ma and Prof. Jitendra Malik. I received my Bachelor's degree from Hong Kong University of Science and Technology (HKUST), where I was advised by Prof. Chi-Keung Tang. I also spent two years at Microsoft Research Asia (MSRA), working on computer vision with Dr. Jifeng Dai and Dr. Yichen Wei.
Activities
- Co-organize workshop on Dexterous Manipulation: Learning and Control with Diverse Modalities at CoRL 2025 (Videos).
- Co-organize workshop on Dexterous Manipulation: Learning and Control with Diverse Data at RSS 2025 (Videos).
- Co-organize workshop on Handy Moves: Dexterity in Multi-Fingered Hands at ICRA 2025 (Videos).
- Co-organize workshop on Touch Processing: From Data to Knowledge at NeurIPS 2024 (Videos).
- Co-organize workshop on Learning Robot Fine and Dexterous Manipulation at CoRL 2024 (Videos).
- Co-organize workshop on Dexterous Manipulation: Design, Perception and Control at RSS 2024 (Videos).
- Co-organize workshop on Touch Processing: a new Sensing Modality for AI at NeurIPS 2023 (Videos).
- Show more...
Papers (*Equal Technical Contribution, †Equal Advising)
Digitizing Touch with an Artificial Multimodal Fingertip
,
,
Ali Sengül,
Victoria Rose Most,
Nolan Black,
Kevin Sawyer,
Romeo Mercado,
Haozhi Qi,
Alexander Sohn,
Byron Taylor,
Norb Tydingco,
Gregg Kammerer,
Dave Stroud,
Jake Khatha,
Kurt Jenkins,
Kyle Most,
Neal Stein,
Ricardo Chavira,
Thomas Craven-Bartle,
Eric Sanchez,
Yitian Ding,
,
Tech Report, Nov 2024
I highly value open-source and reproducible research. I aim to open-source all of my project code; the current progress is 22 / 24 (91.7%).
In addition, my CV template is open-sourced
here,
and its design is inspired by
this.
This website is also open-sourced
here.
Its design is inspired by
this and
this,
with a few adapted elements.
★ ★ ★ ★
★ ★ ★ ★