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Kamalnath Bathirappan
Featured Member

Kamalnath Bathirappan

Robotics Researcher
Skills: ROS & ROS2 SLAM & Sensor Fusion Perception & Path Planning Terrain Estimation & Trajectory Generation Mobile Robots & Multi Model Robots

I am currently pursuing my Master’s in Robotics at Northeastern University, having joined in Fall 2024. My journey in robotics began with a Bachelor's in Mechatronics, which I completed in 2021. During this time, I immersed myself in building numerous robots and competing in various robotics competitions, sharpening my skills in automation and intelligent systems.

I kickstarted my professional career as a Robotics Engineer Intern at Maxbyte Technologies, where I worked on Autonomous BOPT (Battery Operated Pallet Trucks) and AMRs (Autonomous Mobile Robots). This was followed by my role at Robotics Learning Solutions, where I designed educational robots and developed courses to inspire the next generation of roboticists.

At Doozy Robotics, I took on a pivotal role as the Principal Robotics Engineer, leading the development of the entire navigation stack for AGVs (Automated Guided Vehicles) and AMRs, leveraging LiDAR and depth & stereo cameras for precise localization and mapping.

My latest industry experience comes from Detect Technologies at IIT Madras Research Park, where I developed autonomous drones for outdoor package delivery and indoor inspection. Alongside this, I pursued a part-time MS in Robotics at IIT Madras, further deepening my expertise in the field.

Currently, I am advancing my knowledge at Northeastern University, pursuing an MS in Robotics (Fall 2024). In January 2025, I joined Silicon Synapse Lab as a Researcher, focusing on perception and localization for COBRA (Crater Observing Bio-inspired Rolling Articulator), a cutting-edge exploration robot, Terrain Estimation and Trajectory Generation for M4 Robot (Multi-Modal Mobility Morphobot).

With every project and experience, I continue pushing the boundaries of autonomous systems, bringing intelligence and efficiency to real-world applications.

Projects