Aditya Rauniyar

Aurora Innovation · Simulation & Autonomy
MSR Carnegie Mellon University

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Hi there!

I work at Aurora Innovation under Simulation and Autonomy, building the future of self-driving technology.

I graduated with a Master’s in Robotics from the Robotics Institute, Carnegie Mellon University. My thesis, Towards Views for 4D Scene Understanding, focused on coordinating among autonomous agents with perceptual negotiation in the human world.

During my time at CMU, I led the Reidentification team for the DARPA Triage Challenge as part of Team Chiron, and co-developed AirStack — an autonomy software stack for aerial robots.

My research was influenced by Prof. Sebastian Scherer, Prof. Jiaoyang Li, and Prof. Micah Corah.

Send me an email for a chat!

news

Sep 1, 2025 Joined Aurora Innovation as an ML Engineer on the Simulation & Autonomy team.
Aug 6, 2025 Demo: Multi-Robot Perception for Subject Localization for the DARPA Triage Challenge. Our system allows multiple robots to collaboratively detect, track, and localize subjects by sharing geolocation data with a central ground station, enabling consistent re-identification across the fleet. Watch the demo.
Jun 1, 2025 Reviewing for IEEE Robotics and Automation Letters (RA-L).
Oct 14, 2024 Presenting at two workshops at IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024).
Jul 1, 2024 Participating in the DARPA Triage Challenge as part of Team Chiron.

Recent publications

  1. scene_cocap.png
    Coordinated Capture for Multi-Drone Operations
    Aditya Rauniyar, Krishna Suresh, Yuechuan Hou, and 3 more authors
    2023
    In preparation for submission to IEEE Robotics and Automation Letters (RA-L)
    HTML
  2. icra_results.png
    Greedy Perspectives: Multi-Drone View Planning for Collaborative Coverage in Cluttered Environments
    Krishna Suresh, Aditya Rauniyar, Micah Corah, and 1 more author
    arXiv preprint arXiv:2310.10863, 2023
    PDF
  3. Task_Assignment.png
    Enhancing Multi-Drone Coordination for Filming Group Behaviours in Dynamic Environments
    Aditya Rauniyar, Jiaoyang Li, and Sebastian Scherer
    2023 IEEE International Conference on Intelligent Robots and Systems (IROS) Workshop on Multi-Agent Learning, 2023
  4. mewbots.png
    MeWBots: Mecanum-wheeled robots for collaborative manipulation in an obstacle-clustered environment without communication
    Aditya Rauniyar, Hem Chandra Upreti, Aman Mishra, and 1 more author
    Springer’s Journal of Intelligent & Robotic Systems, 2021
    PDF

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