CV

Education, research experience, manuscripts, projects, teaching, and service. A PDF version is available via the download button.

Contact Information

Name Sourav Selvaraj
Professional Title M.S. Robotics Engineering Student
Email sselvaraj@wpi.edu

Professional Summary

Research interests: legged robotics, whole-body control, and robot learning. Recent work spans force-regulated body contact on quadruped hardware (SCRUB), learned footstep planning (GaitNet), and reinforcement learning for humanoids.

Experience

Education

  • 2025 - 2027

    Worcester, MA

    Master of Science
    Worcester Polytechnic Institute
    Robotics Engineering
    • GPA: 4.0/4.0
  • 2021 - 2025

    Tiruchirappalli, India

    Bachelor of Technology
    National Institute of Technology, Tiruchirappalli
    Instrumentation and Control Engineering
    • CGPA: 8.2/10.0

Awards

  • 2026
    Dr. Glenn Yee Graduate Student Tuition Award
    Robotics Engineering Department, Worcester Polytechnic Institute

    Competitive merit-based award for outstanding RBE graduate students, selected on research record — publications and successful projects — and academic standing. Carries one tuition credit for the Fall 2026 semester.

  • 2023
    Winner, Smart India Hackathon 2023
    Ministry of Education, India

    Nationwide student innovation competition.

Publications

Projects

Teaching Experience

  • Teaching Assistant & Laboratory Curriculum Developer — RBE 521: Legged Robotics, Worcester Polytechnic Institute, May – Aug 2026. Instructor: Dr. Mahdi Agheli. Developed hands-on lab modules using Unitree Go1 and G1 robots.

Academic Service & Leadership

  • Reviewer, IEEE Transactions on Automation Science and Engineering (T-ASE), Jan – Feb 2026.
  • Team Lead, ISRO Robotics Challenge 2024, NIT Trichy, Dec 2022 – Aug 2024. Led a 10-member team building an autonomous rover.

Skills

Software: ROS 2, MuJoCo, Isaac Lab, Gazebo, PyTorch, OCS2, Pinocchio, Docker
Programming: C/C++, Python, MATLAB/Simulink
Robotics: MPC, Whole-Body Control, Trajectory Optimization, Reinforcement Learning, Imitation Learning
Hardware: Unitree Go1/G1, Franka Panda, Crazyflie 2.1, Jetson Orin, RealSense, F/T Sensors, CAN