Jacky Liang
Scholar

Jacky Liang

Google Scholar ID: K29Sv1EAAAAJ
Google DeepMind
RoboticsFoundation Models
Citations & Impact
All-time
Citations
6,689
 
H-index
22
 
i10-index
25
 
Publications
20
 
Co-authors
26
list available
Resume (English only)
Academic Achievements
  • Published multiple conference papers including ICRA, CoRL, and received the Outstanding Paper in Robot Learning at ICRA 2023.
Research Experience
  • Interned at NVIDIA for the Isaac project, applying GPU-accelerated physics simulations for robot learning; conducted research in robot grasping and manipulation with Prof. Ken Goldberg at UC Berkeley.
Education
  • PhD from Carnegie Mellon University's Robotics Institute, co-advised by Prof. Oliver Kroemer and Prof. Maxim Likhachev. PhD Thesis: Learning with Structured Priors for Robust Robot Manipulation.
Background
  • Research Focus: Foundation models for robotics. Professional Field: Robotics. Brief Introduction: A research scientist at Google DeepMind.
Miscellany
  • In spare time, writes for and co-runs Skynet Today and the Last Week in AI newsletter, aiming to demystify and disseminate AI news without hype.