About Me

I am a Staff Tech Lead Manager at Aurora Innovation, where I lead the Intent Prediction team within the Behavior Planning organization. My team owns the core ML forecasting component that powers Aurora’s autonomous vehicles, including architecture decisions, roadmap, and cross-functional alignment across Motion Planning, Perception, Maps, Simulation, and Testing.

Previously, I worked as a Software Engineer at Aurora Innovation (and UATC LLC, which was acquired by Aurora), where I developed GNN-based scene reasoning models for motion planning. I hold a Master of Science in Robotics from Carnegie Mellon University (advised by Prof. Katia Sycara) and a B.Tech in Mechanical Engineering with a Minor in Artificial Intelligence from IIT Kanpur. Check out my Resume and Google Scholar for more details.

Patents

• Systems and Methods for Interaction-Based Trajectory Prediction [Patent] — US Patent No. 11,975,726 (Issued May 2024)
• Goal-Based Motion Forecasting [Patent] — US Patent No. 11,801,871 (Issued Oct 2023)
• Autonomous Vehicle Motion Planning — US Patent Application No. 63/616,284 (Under Review)
• Training Motion Planning with Hybrid Simulation — US Patent Application No. 19/433,843 (Under Review)

Publications

• Interaction-Based Trajectory Prediction Over a Hybrid Traffic Graph [Paper]
  Sumit Kumar, Yiming Gu, Jerrick Hoang, Galen Clark Haynes, Micol Marchetti-Bowick
  IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021)
  

• MAME: Model Agnostic Meta Exploration [Paper] [Code]
  Swaminathan Gurumurthy, Sumit Kumar, Katia Sycara
  Conference on Robot Learning (CoRL 2019)
  This paper was initially selected for an oral presentation at the Adaptive and Multitask Learning: Algorithms & Systems Workshop at ICML 2019.
  

• Learning Transferable Cooperative Behavior in Multi-Agent Teams [Paper] [Code]
  Akshat Agarwal*, Sumit Kumar*, Katia Sycara
  International Conference on Machine Learning (ICML 2019)
  This paper was selected for a spotlight presentation at the Learning and Reasoning with Graph-Structured Data Workshop.
  

• Active Learning with Gaussian Processes for High Throughput Phenotyping [Paper] [Code]
  Sumit Kumar, Wenhao Luo, George Kantor, Katia Sycara
  International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2019)