Qinjie Lin
Scholar

Qinjie Lin

Google Scholar ID: yIbFM0EAAAAJ
PhD in computer science, Northwestern University
Robotics systemRobot LearningReinforcement Learning
Citations & Impact
All-time
Citations
192
 
H-index
6
 
i10-index
3
 
Publications
12
 
Co-authors
2
list available
Resume (English only)
Academic Achievements
  • - Published multiple papers in top conferences like ICRA, ICLR, CVPR, and CoRL.
  • - Major contributions include:
  • - DOS®: A Deployment Operating System for Robots
  • - EMS®: A Massive Computational Experiment Management System towards Data-driven Robotics
  • - RoboFlow: a Data-centric Workflow Management System for Developing AI-enhanced Robots
  • - Developed a switch trajectory transformer with distributional value approximation for multi-task reinforcement learning
  • - Proposed a meta path planning algorithm via neural exploration-exploitation trees for high-dimensional planning
Research Experience
  • - Interned at Meta Reality Lab, Meta’s Ranking & Foundational AI, and Zebra Tech.
  • - Involved in multiple robotics projects such as DOS®, EMS®, and RoboFlow.
Education
  • PhD in Computer Science at Northwestern University, advised by Prof. Han Liu.
Background
  • Broadly interested in robot learning, focusing on efficiently scaling AI-driven robotics through computational systems and efficient decision-making. Drawn to developing simple, scalable methods that leverage both on-board and distributed compute to accelerate real-world robotic deployment.