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Contact Information

Name Anshul Nayak
Professional Title Postdoctoral Scholar in Robotics and AI
Email anshulnayak@vt.edu
Phone +1 540-998-9324
Website https://anshulnayak.com

Professional Summary

Postdoctoral scholar specializing in deep learning, robotics, control, and autonomous systems, with research spanning vision-language models, multi-agent reinforcement learning, uncertainty-aware prediction and planning, and cooperative perception.

Experience

  • 2025 - present

    Clemson, SC, USA

    Postdoctoral Scholar
    Clemson University
    • Developed a belief-aware vision-language model with memory retrieval for long-horizon intent inference and human-like reasoning.
    • Proposed MA-VLCM, which replaces a learned critic with a pretrained vision-language model to improve sample efficiency and support zero-shot-generalizable multi-agent policies.
  • 2025 - 2025

    Blacksburg, VA, USA

    Research Associate
    Virginia Tech Transportation Institute
    • Enhanced long-range detection using camera and range sensors for autonomous emergency braking.
    • Simulated rainy conditions using monocular depth estimation and physics-based particles to study sensor degradation.
  • 2024 - 2024

    San Jose, CA, USA

    Research Intern
    Honda Research Institute
    • Adviser: Dr. Songpo Li
    • Developed a seven-degree-of-freedom human arm model using model predictive control for coordinated reaching and orientation.
    • Optimized cost-function weights to generate human-like trajectories and validated them against upper-limb motion data.
  • 2021 - 2024

    Blacksburg, VA, USA

    Research Assistant
    Virginia Tech
    • Adviser: Dr. Azim Eskandarian
    • Developed uncertainty-aware social-navigation planners using chance constraints and control barrier functions.
    • Learned vision-based potential-field cost maps for obstacle avoidance.
    • Built a sequence-to-sequence Kalman-filter surrogate with deep ensembles to propagate sensing uncertainty.
    • Applied Monte Carlo dropout for Bayesian trajectory prediction, improving accuracy by 15% over deterministic models.
    • Designed cooperative prediction for occluded objects in GPS-denied environments.
    • Proposed a Gaussian-process-based probabilistic RRT for proactive collision avoidance.
    • Deployed the ROS/CARMA-based autonomous X-CAR platform with SLAM, V2V communication, waypoint generation, and data processing.
  • 2018 - 2020

    Blacksburg, VA, USA

    Graduate Student Researcher
    Virginia Tech
    • Adviser: Dr. Hodjat Pendar
    • Designed a robotic fish to investigate how caudal-fin flexibility, shape, and thickness affect propulsion performance.
    • Developed a numerical model of fish dynamics and compared thrust and efficiency between freely swimming and tethered fish.

Research Interests

Education

  • 2021 - 2024

    Blacksburg, VA, USA

    PhD
    Virginia Tech
    Mechanical Engineering
    • Thesis: Cooperative Prediction and Planning Under Uncertainty for Autonomous Robots
    • Adviser: Dr. Azim Eskandarian
  • 2018 - 2020

    Blacksburg, VA, USA

    MS
    Virginia Tech
    Mechanical Engineering
    • Thesis: Effect of Kinematics and Caudal Fin Properties on Performance of a Freely-Swimming Fin
    • Adviser: Dr. Hodjat Pendar
  • 2011 - 2015

    Rourkela, Odisha, India

    BTech
    National Institute of Technology Rourkela
    Mechanical Engineering
    • Adviser: Dr. Soumya Gangopadhyay

Skills

Programming Languages (Advanced): Python, C++, MATLAB
Robotics and Machine Learning (Advanced): PyTorch, CasADi, TensorFlow, ROS, ROS 2, Nav2, OpenCV
Simulation and Development (Advanced): Gazebo, Isaac Sim, CARLA, Linux, Docker, Git
Embedded Systems (Advanced): Arduino, NVIDIA Jetson
Sensors and Estimation (Advanced): IMU, GPS, LiDAR, cameras, stereo vision, PCL, Open3D, Kalman filters, extended Kalman filters, sensor fusion
Relevant Coursework: Deep Learning, Reinforcement Learning, Model Predictive Control, Optimization, Nonlinear Systems Theory

Publications

Awards

  • 2024
    Pratt Fellowship
    Virginia Tech

    Prestigious fellowship awarded by the Department of Mechanical Engineering.

  • 2014
    Summer Research Fellowship
    IASc-INSA-NASI

    Fellowship supporting summer research at the Indian Institute of Science.

  • 2012
    Mahindra Baja SAE Finalist
    Mahindra Baja SAE Indian Student Chapter

    Finalist at the Mahindra Baja SAE competition in Pithampur, India.

Services

Reviewer: IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Intelligent Vehicles, and IEEE International Conference on Intelligent Transportation Systems
External Reviewer: IEEE Intelligent Vehicles Symposium and IEEE IV 2022