field robotics lab

Jagatpreet Nir is a PhD student exploring the area of robotic navigation algorithms. He is interested in discovering new ways to improve accuracy of Visual Inertial Navigation algorithms with bounded computational effort. Before starting his PhD, Jagatpreet worked at the Indian Institute of Technology, Delhi (IITD) as a research associate on non-linear control of multi-fingered robotic hands. He also worked at a mechatronics startup as a design engineer developing motion simulators for driving training. Contact Jagatpreet at

Ayush Garg is a Master’s student majoring in Robotics with a specialization in Electrical and Computer Engineering. He received his Bachelor’s degree in Computer Science Engineering at Manipal Institute of Technology in 2019. His research interests lie at the intersection of robotics, computer vision, and deep learning. He aims to push the current state-of-the-art perception techniques to make them more robust in challenging environments. Contact Ayush at garg.ayu@northeastern.edu.

Arvind Thamil Chelvan is a Master’s student in Robotics department with a Bachelor’s degree in Electrical and Computer Engineering. His research interests include 3D perception and SLAM for robots in challenging environments. Contact Arvind at thamilchelvan.a@northeastern.edu.

Curtis Manore is a Master’s student in the Robotics program. He earned his Bachelor’s degree in Electrical Engineering at the United States Military Academy at West Point. His research focuses on improving visual inertial odometry in challenging environments for vision navigation. Curtis is a Lieutenant in the U.S. Army attending Northeastern as a Military Research Fellow from MIT Lincoln Laboratory. He aims to pursue a Master’s thesis in vision-based navigation with the Field Robotics Lab. Contact Curtis at manore.c@northeastern.edu.

Sushant Govindraj is a Master’s student in the Robotics program. He received his Bachelor’s degree in Electronics and Communications Engineering at Vellore Institute of Technology. Prior to joining Northeastern, he worked at the Indian Institute of Science on a project for the autonomous landing of a UAV on a dynamic platform. He also interned at GreenSight, a Boston startup, as a robotics engineer, where he worked on implementing lightweight perception and machine learning algorithms for quadrotors. His research focuses on robust machine learning and sensor fusion tools to use SLAM and 3-D perception in challenging environments. Contact Sushant at govindraj.s@northeastern.edu

Uday Raghuvanshi is a Master’s student majoring in Robotics with a minor in Electrical and Computer Engineering. He received his Bachelor’s degree in Mechanical Engineering from Punjab Engineering College in 2021. Prior to Northeastern, he worked at the Karlsruhe Institute of Technology as a Research Assistant. His research interests include computer vision, sensor fusion, machine learning, and visual-based navigation, with a focus on achieving autonomy in challenging environments. Contact Uday at raghuvanshi.u@northeastern.edu.