Kai Gao
Scholar

Kai Gao

Google Scholar ID: KX_CRv4AAAAJ
Amazon Robotics
RoboticsTask and Motion Planning
Citations & Impact
All-time
Citations
253
 
H-index
9
 
i10-index
9
 
Publications
20
 
Co-authors
20
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Publications: Multiple first-author and co-authored papers in top conferences and journals like IJRR, IROS; Awards: Finalist of Best RoboCup Paper Award at IROS 2023, Gold Award in China Undergraduate Mathematical Contest in Modeling in Anhui Province 2017, Coursera Reinforcement Learning Specialization Certificate.
Research Experience
  • Work Experience: Applied Scientist at Amazon Robotics; Research Projects: Involves multiple projects on dual-arm rearrangement, tabletop object rearrangement, etc.
Education
  • PhD: Rutgers University, Advisor: Professor Jingjin Yu; B.S.: University of Science and Technology of China, Outstanding Graduate, multiple times recipient of the Outstanding Student Scholarship.
Background
  • Research Interests: Planning and control for robotics manipulation. Professional Field: Perception, deep learning, and the use of physics engines such as Isaac Gym and Pybullet. Background: Before joining Amazon Robotics, I pursued my PhD at Rutgers University, working with Professor Jingjin Yu.
Miscellany
  • Skills: Python, Matlab, C++, Git, ROS, PyBullet, Gazebo, OpenCV, PyTorch, Gurobi, Drake, Isaac Gym; Personal Interests: Not specified