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Rohan Baijal
rbaijal [at] cs [dot] washington [dot] edu

I am a PhD student at the University of Washington advised by Byron Boots.

I want to develop robots that can perform useful tasks by operating in complex environments with and without humans. I am interested in combining classical and learning based methods to develop efficient algorithms for robots so that they can leverage structure in the world and adapt to new scenarios from data and interaction.

Before this I spent a (2 + 2i) (COVID :') years at the Indian Institute of Technology, Kanpur where I majored in Electrical Engineering. I was part of the Aerial Robotics team and that's how I started my tryst with Robotics.

email   |   cv   |   google scholar   |   github  |   blog

profile photo
News

  • [Aug 2025]

    Started a new blog to write about various topics under the sun! Check it out here.
  • [Aug 2025]

    "Long Range Navigator (LRN): Extending robot planning horizons beyond metric maps" is accepted at CoRL 2025!
  • [Jun 2025]

    "Long Range Navigator (LRN): Extending robot planning horizons beyond metric maps" won the Best Paper Award at the ROAR workshop at RSS 2025.
  • [Jun 2025]

    "Long Range Navigator (LRN): Extending robot planning horizons beyond metric maps" is accepted as an Oral presentation at the ROAR Workshop at RSS 2025.

Publications

For the most up-to-date list of publications, please see google scholar.

Preprints

Publications

Long Range Navigator (LRN): Extending robot planning horizons beyond metric maps
Matt Schmittle, Rohan Baijal, Nathan Hatch, Rosario Scalise, Mateo Guaman Castro, Sidharth Talia, Khimya Khetarpal, Siddhartha Srinivasa, Byron Boots
Conference on Robot Learning (CoRL), 2025

Best Paper Award at ROAR Workshop at RSS 2025



paper   website  

Multi-Sample Long Range Path Planning under Sensing Uncertainty for Off-Road Autonomous Driving
Matt Schmittle, Rohan Baijal, Brian Hou, Siddhartha Srinivasa, Byron Boots
International Conference on Robotics and Automation (ICRA), 2024

paper   website  

Challenges in Close-Proximity Safe and Seamless Operation of Manned and Unmanned Aircraft in Shared Airspace
Jay Patrikar, Joao P. A. Dantas, Sourish Ghosh, Parv Kapoor, Ian Higgins, Jasmine J. Aloor, Ingrid Navarro, Jimin Sun, Ben Stoler, Milad Hamidi, Rohan Baijal, Brady Moon, Jean Oh, Sebastian Scherer
Aerial Robotics Workshop at the International Conference on Robotics and Automation (ICRA), 2022

paper   video

Other interesting bits

Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Robotics community effort


website  

DROID: A Large-Scale In-the-Wild Robot Manipulation Dataset
Robotics community effort


website  

SoRTS: Learned Tree Search for Long Horizon Social Robot Navigation
Ingrid Navarro, Jay Patrikar, Joao P. A. Dantas, Rohan Baijal, Ian Higgins, Sebastian Scherer, Jean Oh
Preprint in Arxiv

paper   code   video

XPlaneROS : ROS Wrapper for Autonomous Fixed Wing Applications
Rohan Baijal, Jay Patrikar, Brady Moon, Sebastian Scherer, Jean Oh
Robotics tools

XPlaneROS blog   AI Pilot blog code  



website adapted from here