Alexy Skoutnev


I am currently a second-year CS Ph.D. student at Vanderbilt University, under the guidance of Prof. Forrest Laine. My research primarily revolves around deep learning, optimization, and robotics. Currently I am doing work in deep learning and optimization to develop hybrid models for predicting real-time motion plans. I am interested in combining learning, optimization, and control techniques to create robust and performance-oriented predictive models. Before embarking on my journey at Vanderbilt, I completed my bachelor’s degree in Mathematics and Mechanical Engineering at UT Austin. During my time there, I had the privilege of conducting research under the mentorship of Prof. Yuke Zhu, Prof. Luis Sentis, and Prof. Kevin Clarno.




  1. QTOS: An Open-Source Quadruped Trajectory Optimization Stack
    Preprint, 2023
  2. Learning to Walk by Steering: Perceptive Quadrupedal Locomotion in Dynamic Environments
    IEEE International Conference on Robotics and Automation, 2023