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Mukil Saravanan

- Roboticist

Biography

Updated in March 2026

Mukil Saravanan is an MSc Robotics (Honours) student at the Delft University of Technology (TU Delft). His research interest lies in the intersection of robotics, machine learning and control with a focus on physical intelligence. He is particularly interested in understanding why control policies fail to generalize under distributional shifts and aims to investigate methods that encode inductive biases and learn task-relevant invariances to achieve robust out-of-distribution generalization in autonomous systems. He has received multiple academic distinctions, including leaderboard prizes at IEEE ICRA and IROS 2022 competitions, the Summer Research Fellowship from the Indian Academy of Sciences (2021), and holds a granted patent. He has also volunteered at major robotics conferences, including IEEE ICRA@40 and IEEE RO-MAN 2025.

In prior, he worked as a graduate researcher in the Robotics Innovations Lab in the Indian Institute of Science, Bangalore. He earned his bachelor's degree in Electronics and Communication Engineering from the Government College of Technology, Coimbatore where he chaired the student branch to be honoured for numerous outreach activities through competitions and seminars.

Apart from his academic endeavours, he enjoys photographing landscapes, streets and loves beatboxing and calisthenics.

SKILLS

Technical Skills

Machine Learning, Control System Design, Robot Learning, Deep Reinforcement Learning

Soft Skills

Self-discipline, Work ethic, Leadership

Tools

  • Frameworks & Libraries: PyTorch, Tensorflow, Scikit-learn, Keras, Acados, CVXPY, OpenCV
  • Physics Engines: Gazebo, PyBullet, MuJoco
  • Tools: Robot Operating System (ROS1, ROS2)
  • Embedded Devices: STM32, Raspberry Pi, Arduino
  • Programming Languages: Python, C++, MATLAB, JAX

    • Experience

    A short summary of my work experience.

    Education

    A brief overview of my educational background..