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Contact Information
| Name | Anshul Nayak |
| Professional Title | Postdoctoral Scholar in Robotics and AI |
| 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
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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.
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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.
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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.
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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.
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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
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2021 - 2024 Blacksburg, VA, USA
PhD
Virginia Tech
Mechanical Engineering
- Thesis: Cooperative Prediction and Planning Under Uncertainty for Autonomous Robots
- Adviser: Dr. Azim Eskandarian
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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
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2011 - 2015 Rourkela, Odisha, India
BTech
National Institute of Technology Rourkela
Mechanical Engineering
- Adviser: Dr. Soumya Gangopadhyay
Skills
Publications
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2024 Pedestrian Trajectory Forecasting Using Deep Ensembles Under Sensing Uncertainty
IEEE Transactions on Intelligent Transportation Systems
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2024 Cooperative Probabilistic Trajectory Prediction Under Occlusion
IEEE Transactions on Intelligent Vehicles
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2023 X-CAR - An Experimental Vehicle Platform for Connected Autonomy Research
IEEE Intelligent Transportation Systems Magazine
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2022 Uncertainty Estimation of Pedestrian Future Trajectory Using Bayesian Approximation
IEEE Open Journal of Intelligent Transportation Systems
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2021 Motion Planning of Autonomous Vehicles Under Dynamic Traffic Environment in Intersections Using Probabilistic Rapidly Exploring Random Tree
SAE International Journal of Connected and Automated Vehicles
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2021 A Comparative Study on Feature Descriptors for Relative Pose Estimation in Connected Vehicles
ASME 2021 International Mechanical Engineering Congress and Exposition
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2021 Relative Pose Estimation for Cooperative Vehicles and Tracking of Multiple Dynamic Objects
ASME 2021 International Mechanical Engineering Congress and Exposition
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2021 Effect of Kinematics and Physical Properties of Caudal Fin on Performance of a Robotic Fish
APS March Meeting Abstracts
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Performance Comparison of a Tethered and Freely-Swimming Fin
Under review at Bioinspiration and Biomimetics
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2016 Modelling, Simulation and Experimental Investigation for Generating ‘I’ Shaped Contour on Inconel 825 Using Electrochemical Machining
Journal of Manufacturing Processes
Awards
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2024 Pratt Fellowship
Virginia Tech
Prestigious fellowship awarded by the Department of Mechanical Engineering.
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2014 Summer Research Fellowship
IASc-INSA-NASI
Fellowship supporting summer research at the Indian Institute of Science.
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2012 Mahindra Baja SAE Finalist
Mahindra Baja SAE Indian Student Chapter
Finalist at the Mahindra Baja SAE competition in Pithampur, India.