MS Robotics Engineering @ WPI | Robot Learning
📧 raghavnallaperumal753@gmail.com 🌐 Portfolio | LinkedIn
Graduate Research Assistant, Aerial-robot Controls and Perception Lab (ACP Lab), WPI, advised by Dr. Guanrui Li. Building a monocular depth prediction network that generates information for reinforcement learning exploration policy, so a quadrotor can navigate unknown, maze-like environments without depending on information that isn't available once it's actually deployed.
Languages: Python, C++, CUDA, MATLAB Robotics: ROS 2 (Humble), MoveIt 2, Nav2, Gazebo, PyBullet, robosuite, robomimic, Simulink Machine Learning: PyTorch, Deep RL (A2C, A3C), Imitation Learning, Diffusion Policy, World Models Perception: OpenCV, Kornia, YOLO, Depth Estimation, VIO, SLAM, Structure from Motion, NeRF, Camera Calibration Controls: PID, LQR, MPC, EKF, System Identification, Trajectory Optimization Hardware: Franka Emika Panda, UR5e, Crazyflie 2.0, Intel RealSense D435, Beckhoff TwinCAT PLC, NVIDIA Jetson Nano Tools: Docker, Git, SLURM/HPC (A30), Blender, HM3D, Habitat-Sim
📊 Seeking Full-Time Opportunities (Aug 2027) in robotics software, robot learning, or autonomy.