Yash Vardhan Pant

Assistant Professor, Electrical and Computer Engineering, University of Waterloo.

E5, U. Waterloo

Waterloo, Canada

My research interests lie in using elements of Control Theory, Formal Methods, Machine Learning and Optimization to solve problems in Safe Autonomy of Robotic and other Cyber-Physical Systems, and Human-Robot Interaction. [Curriculum Vitae]

Prior to joining the University of Waterloo, I was a Postdoctoral Fellow in the EECS Department at UC Berkeley. As a part of the VeHICaL project, I was mentored by Professors Sanjit Seshia (primarily) and Bjoern Hartmann.

I received my PhD in Electrical Engineering from the University of Pennsylvania, where I worked on developing Robust Predictive Methods for Planning and Control of Autonomous Systems as a part of Prof. Rahul Mangharam’s Real-Time and Embedded Systems Lab.

Computationally tractable solutions, that potentially solve real problems, are a recurring theme across my research. More often that not, the algorithms we develop are implemented on actual Cyber-Physical Systems, some of which are: multiple Crazyflie 2.0 quad-rotors, a 1/10th scale autonomous car, a hex-rotor platform, a hardware-in-the-loop vehicle ECU simulator, a scaled down hybrid powertrain for Electric Vehicles, and a self-balancing, fully enclosed electric motorcycle.



Jun 15, 2021 Our paper on a Signal Temporal Logic-based framework for safety of Autonomous UAVs in Urban Air Mobility missions has been accepted for publication in the Transportation Research Part C: Emerging Technologies, special issue on Embracing Urban Air Mobility.
Apr 29, 2021 Our paper on decentralized path planning with line-of-sight constrained communication between agents, led by Victoria Tuck, has been accepted at the IEEE Conference on Control Technology and Applications (CCTA), 2021.
Feb 4, 2021 Our paper on Learning-based Decentralized Multi-UAV Collision Avoidance will appear in the ACM Transactions on Cyber-Physical Systems.
Feb 1, 2021 Two of our papers have been accepted at the 2021 American Control Conference (ACC): one on co-designing the planner and controller for UAVs with Signal Temporal Logic objectives, and another on Counter-Example Guided Synthesis for systems with black-box learning-based perception modules.
Oct 18, 2020 Our paper (led by Kuk Jang) won the best paper in session (UAV conflict management) award at DASC 2020.

selected publications

  1. Fly-by-Logic: Control of Multi-Drone Fleets with Temporal Logic Objectives
    Pant, Yash Vardhan, Abbas, Houssam, Quaye, Rhudii A, and Mangharam, Rahul
    In Proceedings of the ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS) 2018
  2. Anytime Computation and Control for Autonomous Systems
    Pant, Yash Vardhan, Abbas, Houssam, Mohta, Kartik, Quaye, Rhudii A., Nghiem, Truong X., Devietti, Joseph, and Mangharam, Rahul
    IEEE Transactions on Control Systems Technology 2020
  3. Learning-’N-Flying: A Learning-based, Decentralized Mission Aware UAS Collision Avoidance Scheme
    Rodionova, Alëna, Pant, Yash Vardhan, Kurtz, Connor, Jang, Kuk, Abbas, Houssam, and Mangharam, Rahul
    ACM Transactions on Cyber-Physical Systems 2021