Scholar
Tao Kong
Google Scholar ID: kSUXLPkAAAAJ
ByteDance Research
Citations & Impact
Citations
15,572
H-index
33
i10-index
47
Publications
20
Co-authors
0
Publications
Cited
0
Resume (English only)
Academic Achievements
- Published numerous papers including GR-2, Vision-Language Foundation Models as Effective Robot Imitators, and more, winning awards at conferences such as ICLR, ECCV, etc. Also received honors like IROS 2024 New Generation Star Program, ICRA 2024 Co-manipulation Workshop Best Paper Finalists, and others.
Research Experience
- Served as the Director of Robotics Research at ByteDance between 2019 and 2025, leading an excellent robotics research team and spearheading the development of cutting-edge robotic technologies and systems.
Education
- Received Ph.D. from Tsinghua University in 2019, advised by Fuchun Sun; visited the University of Pennsylvania, working with Jianbo Shi.
Background
- Research interests: robot learning and computer vision, with a particular emphasis on devising scalable, AI-powered algorithms and systems that enable robots to perceive and act in the real world.
Miscellany
- Actively seeking full-time researchers and engineers specializing in robotics, with a focus on robot foundation models and systems.
Co-authors