Thomas Weng
Scholar

Thomas Weng

Google Scholar ID: RGox7v4AAAAJ
Research Scientist, Boston Dynamics AI Institute
Robotics
Citations & Impact
All-time
Citations
423
 
H-index
9
 
i10-index
8
 
Publications
15
 
Co-authors
11
list available
Resume (English only)
Academic Achievements
  • Papers accepted to ICRA 2023, IROS 2022, CoRL 2021, IROS 2020, RA-L + ICRA 2020; selected for the 2023 cohort of RSS Pioneers.
Research Experience
  • Currently a Research Scientist at The AI Institute; held a Visiting Researcher position at Facebook as part of the FB Research and AI Mentorship program.
Education
  • PhD from CMU Robotics Institute, advised by Prof. Dave Held; conducted research on human-robot interaction with Prof. Maya Cakmak at UW and Prof. Brian Scassellati at Yale before his PhD.
Background
  • Research interests include learning for robotic perception and manipulation. Completed a PhD at the CMU Robotics Institute, supported by an NSF Graduate Research Fellowship and the Meta AI Mentorship Program.
Miscellany
  • Blog covers topics such as interactive 3D plots, deploying Python 3 PyTorch networks in Python 2 for ROS, filtering MoveIt cartesian path plans, compressing videos, installing NVIDIA drivers and CUDA, replacing command prompts with emojis, and installing ROS drivers for Azure Kinect.