Tony Z. Zhao
Scholar

Tony Z. Zhao

Google Scholar ID: 2IXVwTMAAAAJ
Stanford University
RoboticsMachine LearningNLP
Citations & Impact
All-time
Citations
5,633
 
H-index
15
 
i10-index
15
 
Publications
18
 
Co-authors
8
list available
Resume (English only)
Academic Achievements
  • Published 'ALOHA Unleashed: A Simple Recipe for Robot Dexterity' at CoRL 2024
  • Published 'Surgical Robot Transformer (SRT): Imitation Learning for Surgical Tasks' at CoRL 2024
  • Released technical report 'ALOHA 2: An Enhanced Low-Cost Hardware for Bimanual Teleoperation' in 2024
  • Published 'Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation' at CoRL 2024
  • Published 'Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware' at RSS 2023
  • Co-authored 'Open X-Embodiment: Robotic Learning Datasets and RT-X Models' (ICRA 2024)
  • Paper 'What Makes Representation Learning from Videos Hard for Control?' was a Best Paper Award Finalist at RSS Workshop 2022
  • Published 'Offline Meta-Reinforcement Learning for Industrial Insertion' at ICRA 2022
  • Recipient of Stanford Robotics Fellowship 2022–23
  • Released code for Mobile ALOHA (Jan 2024)
  • Released code for ALOHA and ACT (Mar 2023)
  • Released code for contextual calibration (Feb 2022)
  • Released code for MELD (Oct 2020)
Research Experience
  • Interned at Tesla Autopilot
  • Interned at Google X Intrinsic
  • Developed the ALOHA robot series (ALOHA, ALOHA 2, Mobile ALOHA)
  • Worked on Surgical Robot Transformer (SRT) for imitation learning in surgical tasks
  • Contributed to Open X-Embodiment project, building cross-robot datasets and RT-X models
  • Researched offline meta-reinforcement learning for industrial insertion tasks