Abhishek Cauligi

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Hi! I am an Assistant Professor in the Department of Mechanical Engineering at Johns Hopkins University, where I lead the Autonomous Control & Exploration Lab. My research focuses on developing safe and computationally efficient decision making algorithms for robotic systems, with a particular focus on studying how machine learning can be combined with model-based planning and optimal control techniques.

Prior to this, I was a Robotics Technologist with the Robotic Surface Mobility Group (347F) at NASA Jet Propulsion Laboratory and received my PhD. in Aeronautics & Astronautics at Stanford University as a member of the Autonomous Systems Lab.

news

Jun 22, 2025 Our paper on Federated Multi-Agent Mapping for Planetary Exploration was accepted to IEEE International Conference on Intelligent Robots and Systems (IROS) 2025!
May 19, 2025 Our paper on Constraint-Informed Learning for Warm Starting Trajectory Optimization was accepted into Journal of Guidance, Control, and Dynamics (JGCD)!
Mar 22, 2025 Our paper on Transformer-based tight constraint prediction for efficient powered descent guidance was accepted into Journal of Guidance, Control, and Dynamics (JGCD)!

selected publications

  1. echigo_cdc24.png
    Expected Time-Optimal Control: a Particle MPC-based Approach via Sequential Convex Programming
    K. Echigo, A. Cauligi, and B. Açıkmeşe
    In Proc. IEEE Conf. on Decision and Control, 2024
    arXiv
  2. delacroix_ieeeaero24.png
    Multi-Agent Autonomy for Space Exploration on the CADRE Lunar Technology Demonstration Mission
    J.-P. de la Croix, F. Rossi, R. Brockers, and 17 more authors
    In IEEE Aerospace Conference, 2024
  3. chen_ram22.png
    Testing Gecko-Inspired Adhesives with Astrobee Aboard the ISS
    T. G. Chen*, A. Cauligi*, S. A. Suresh, and 2 more authors
    IEEE Robotics and Automation Magazine, 2022
    Code