Shaoxiong Wang
Head Of Robotics Learning at Tacta Systems, Inc.
Palo Alto, California, United States
Summary
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Senior🎓
Top SchoolShaoxiong Wang is a robotics learning leader with 12 years of experience building dexterous manipulation and tactile-sensing systems, currently heading Robotics Learning at Tacta Systems in Palo Alto. Trained at MIT (PhD, EECS) and Tsinghua, he bridges academic research and product deployment—leading force-sensitive manipulation work at Dexterity and contributing to Tesla’s Optimus efforts. His expertise spans multimodal robot learning, vision-based tactile simulation (work pursued at Facebook AI), and bringing lab methods into real-world robotic systems. Known for translating tactile sensing research (including Gelsight-based projects) into scalable learning pipelines, he combines deep technical rigor with hands-on system integration. Colleagues note his ability to move rapidly from prototyping to production while keeping models grounded in physical contact dynamics.
12 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, EECS, Doctor of Philosophy - PhD, EECS at Massachusetts Institute of TechnologyBachelor's degree, Computer Science, Bachelor's degree, Computer Science at Tsinghua University
English, Chinese
Github Skills (13)
pytorch10
machine-learning10
deep-learning10
python10
data-science10
tensorflow9
jax9
simulation8
neural-network8
simulator8
computer-graphics7
computer-vision6
raw-data6
Programming languages (2)
Github contributions (5)
wx405557858/neural_tracking_data
Jun 2022 - Jul 2022
Contributions:33 commits, 1 push in 16 days
wx405557858/wx405557858.github.io
Oct 2015 - Dec 2016
Contributions:59 pushes, 1 branch in 1 year 2 months
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