Signature work
Selected projects
A handful of the systems I'm most proud of — spanning swarms, event-based vision, learned planning, and field robotics.
Uurmi Systems & IIT KGP · 2011–2016
Autonomous Car — Self-Driving on Indian Roads
One of my most significant career contributions — building a full self-driving stack for Indian road conditions. Led teams developing lane detection, visual odometry, SLAM, multi-sensor fusion, path planning, and object tracking. The work began with the AGV group's IGVC campaigns at IIT Kharagpur and matured into a university-industry autonomous car program at Uurmi Systems.
Self-DrivingLane DetectionSLAMSensor Fusion
▶ Watch demos on the AGV YouTube channel →
Intel Labs · 2017–2019
Distributed Autonomous Swarm Robots
A fully distributed swarm where ground robots and drones coordinate without any central server — each making local decisions from shared state and dynamic anchor selection. Demonstrated as a working PoC; the work led to several granted US patents and was featured at ISSCC 2019 on a custom 22nm CMOS robot SoC.
SwarmMulti-Robot22nm SoCISSCC
Intel Labs · 2019–2022
AVIO — Event-Based Visual Inertial Odometry
Visual odometry built on event cameras — neuromorphic sensors firing at microsecond resolution. AVIO fuses asynchronous event streams with IMU data for low-latency localization in fast-motion and low-light conditions where conventional cameras fail. Best Paper, IEEE CONECCT 2023.
Event CamerasVisual OdometryBest Paper
Intel Labs · 2019–2021
KB-RRT — Kinematic Path Planner
A bi-directional RRT that respects real robot kinematic constraints, generating smooth, executable trajectories rather than geometric paths. Extended to PG-RRT using Gaussian Mixture Models for probabilistic environment representation. Published at ICRA 2019 and IROS 2021.
Path PlanningRRTICRAIROS
IIT Kharagpur · 2025
RL-BiRRT — Reinforcement Learning Path Planning
A reinforcement-learning-driven framework for intelligent path planning that learns to guide the bi-directional RRT search — producing faster, smarter trajectories than classical sampling-based planners. Published at ICAR 2025.
RL-BiRRTReinforcement LearningPath PlanningICAR
IIT Kharagpur · 2025
Deep RL Coverage Path Planner
Deep reinforcement learning agents trained to solve coverage planning — ensuring a robot covers every point in an unknown environment with minimal overlap. Extended to multi-agent coordination (MultiAgent-DeepQ) where agents divide territory and explore unknown environments together. Published at ICAR 2025.
Deep RLCoverage PlanningMulti-AgentICAR
Ola Electric · 2023–2025
Multi-Camera Bird's Eye View
Fused feeds from cameras around a two-wheeler into a unified top-down representation of the surroundings — enabling accurate object detection, lane awareness, and safe navigation for autonomous two-wheelers at production scale.
BEV PerceptionMulti-CameraADAS
IIT Kharagpur · PhD Thesis
3D Underground Mine Mapping Robot
A prototype autonomous mobile robot that maps GPS-denied underground mines in 3D using 6D SLAM — fusing LiDAR, IMU, and cameras for robust pose estimation in featureless, dust-filled tunnels. Sponsored by ISRO. The work that started it all.
6D SLAMMine RoboticsISRO