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Raghav Nallaperumal

An Aspiring Roboticist pursuing MS in Robotics Engineering at Worcester Polytechnic Institute

Raghav Nallaperumal

Robotics Graduate Student at WPI specializing in the intersection of learning-based manipulation and robotic perception.

My expertise lies in developing end-to-end robotics pipelines, from classical computer vision (Pb-lite, filter banks) to modern deep learning architectures (ResNet, DenseNet). I have a proven track record in designing autonomous systems using ROS 2, simulation environments like PyBullet and Gazebo, and motion planning for high-DOF manipulators like the Franka Emika Panda.

I am driven by the challenge of making robot manipulation more robust through predictive modeling, tactile sensing integration, and reinforcement learning. My technical foundation is supported by proficiency in C++, Python, and hardware integration using industrial standards like PLC/Beckhoff.

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