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Biography

Updated in June 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 via structural inductive biases. He is particularly interested in how control policies can leverage physics-informed and geometrical priors to achieve data efficiency and robust generalisation under distributional shifts. He has received multiple academic distinctions, including leaderboard prizes at IEEE ICRA and IROS 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, calisthenics and discussing philosophical ideas.

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: MuJoco, Gazebo, PyBullet
  • 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.

    • TU Delft
      February 2026 - April 2026

      Teaching Assistant

    • TU Delft
      November 2025 - March 2026

      Research Student

      • Investigated on learning temporally-coherent action chunks using Contrastive Policy Learning from Interactive Corrections. CLIC-Chunks maintained high success rates for various manipulation tasks while revealing a critical scalability limit due to EBM sampler. Supervised by Zhaoting Li and Prof Jens Kober
    • TU Delft
      March 2025 - June 2026

      Honours Research Student

      • Jointly researched on whole body control of aerial robot manipulation with Dr. Sihao Sun, under the supervision of Prof. Javier Alonso-Mora.
      • This work investigates developing a task space planning for a 2-DoF aerial manipulator using Non-linear Model Predictive Control (NMPC), integrating the system's coupled contact kinodynamics. Developed a high-fidelity full-body aware contact aerial manipulator in MuJoCo.
    • IISC

      Indian Institute of Science,
      Bangalore

      May 2023 - March 2024

      Research Engineer

      August 2023 - November 2023 (Fall 2023)

      Teaching Assistant

      March 2022 - May 2024

      Graduate Researcher

      August 2022 - November 2022 (Fall 2022)

      Teaching Assistant

    • GCT IEEE Student Branch
      September 2021 - November 2022

      Student Branch Chair

    • IISc

      Indian Institute of Science,
      Bangalore

      June 2021 - October 2021

      Summer Research Fellow

      • Awarded the prestigious Indian Academy of Sciences (IAS) Summer Research Fellowship to research under the principal research scientist Dr Rathna G N at Digital Signal Processing lab.
      • Focused on feature extraction methods of ECG signals to detect emotions for a trans-radial prosthetic arm. Adopted 4-level wavelet decomposition to extract a total of 18 temporal, spectral and non-linear Heart Rate Variability (HRV) features.
    • TCS iON Life Long Learning

      Tata Consultancy Services (TCS) iON,
      Remote

      June 2020 - July 2020

      Summer Intern

      • Designed a Robot Process Automation (RPA) bot solution to download email attachments and automate data entry into a web form.
      • Compared and utilized web scrapping tools such as UiPath and Selenium to automate the workflow.

    Education

    A brief overview of my educational background..