Anurag Shetye

I am a robotics researcher working on perception and control for decision making under uncertainty, the parts a robot needs before it can be trusted to act without a person standing behind it. I currently work with Dr. Arpita Sinha at IIT Bombay's Centre for Systems and Control on autonomous manipulation, with Dr. Johannes Köhler in Imperial College London's Autonomous Systems Group on model predictive control for navigation among moving obstacles, and with Dr. Mark Vlutters in Twente's Nakama Robotics Lab on vision for learning from demonstration.

I got my start on real flight hardware in the Robotics and Drones Laboratory at RAIT, DY Patil University, where I completed my B.Tech in Computer Science & Business Systems in June 2026 with a CGPA of 9.48/10. I turned down research offers from ISRO (URSC) and BARC to work full-time at IIT Bombay.

Check out my research. Check out the resources I built along the way.

Anurag Shetye
Imperial College London
Research Collaborator
Imperial College
Aug 2026 – Present
University of Twente
Research Intern
U. of Twente
Mar 2026 – Present
IIT Bombay
Research Intern
IIT Bombay
Jan 2026 – Present
Deloitte
Intern, SC&NO
Deloitte
2026
LTIMindtree
Project Intern
LTIMindtree
2024
RAIT, DY Patil University
B.Tech, CSBS
RAIT (DY Patil)
2022 – 2026

Research

Model predictive control · Mobile robotsmedia/imperial-mpc-1

Extending an MPC framework for cluttered environments to obstacles that move, where the free space a plan was computed against no longer exists by the time the robot gets there.

Model predictive controlMobile robots

Autonomous Systems Group, Imperial College London

Details

A whole-body QP controller that corrects joint velocities from measured base pose, so the arm keeps reaching while the base is still moving.

OpenManipulator-XTurtleBot 3 Waffle

Centre for Systems and Control, IIT Bombay

Details

Grasp and contact events from the robot's own proprioception seed segmentation, so the task-relevant objects in a demonstration are labelled without a human.

Franka Research 3ZED MiniBota SensONE

Nakama Robotics Lab, University of Twente

Details

Algebraic inverse kinematics, stochastic planning, reactive obstacle deflection and admittance control, joined into one continuous pipeline.

Kinova 6-DOFROS 2 JazzyGazebo

Centre for Systems and Control, IIT Bombay

Details

LiDAR altitude estimation, RTAB-Map point-cloud mapping and precision landing for Martian-like terrain. Final Field Round, top 16 of 500+ teams, IRoC-U 2025.

Autonomous UAV

ISRO Robotics Challenge, URSC

Details

A sequence model for the forward map and a mixture density model for the inverse, learned from motion capture on a soft arm that has no closed-form kinematics.

Tendon-driven continuum armQualisys

Centre for Systems and Control, IIT Bombay

Details

Started at fourteen after the Nepal earthquake. Ground-penetrating radar, vision, gas sensing and LoRa on a paired aerial and ground platform. Bronze at CASTIC; Indian patent filed.

UAV–UGV platform

Independent

Details

PID stabilization, precision landing, and leader–follower consensus with Lighthouse positioning, flown on real hardware.

Crazyflie 2.1

Robotics & Drones Laboratory, RAIT

Details

Setpoint-based autonomous control for a quadruped platform, moving it from teleoperation to commanded waypoints.

xTerra SVAN M2

Robotics & Drones Laboratory, RAIT

Details

Following natural-language route instructions through a city-scale point cloud, where the map is dense but the instruction is the only goal specification.

LiDAR point cloudsvision-language models

Centre for Systems and Control, IIT Bombay

Details

Cargo placement and rearrangement for a space station, where stowage volume is fixed and an item buried behind three others has effectively been lost.

3D bin packingFastAPIDocker

National Space Hackathon, IIT Delhi × ISRO

Details
Multi-robot learning

Coming soon

Multi-robot learning