Chinmay Prashanth

Resume

Chinmay Prashanth

Robotics PhD student — simulation-driven robotics, robot learning, and deployable field systems.

Education

Arizona State University — Ira A. Fulton Schools of Engineering (Jan 2026 – Jan 2031 (expected))

PhD, Robotics and Autonomous Systems

Doctoral research at the EcoRobotics Lab (Mesa, AZ): autonomous robotics for environmental applications — soil remediation and field robotics.

New York University — Tandon School of Engineering (Sep 2022 – May 2024)

M.S., Mechatronics and Robotics

Explainable autonomous robots research (IEEE RO-MAN 2024, U.S. provisional patent) and medical robotics with NYU Langone via Future Labs.

Dayananda Sagar College of Engineering, Bengaluru (Aug 2018 – May 2022)

B.E., Mechanical Engineering

Foundation in mechanical design, FEA, and manufacturing.

Experience

Graduate Research Associate · EcoRobotics Lab, ASU (Jan 2026 – Present · Mesa, AZ)

  • Doctoral research in autonomous robotics for real-world environmental applications — soil remediation and field robotics.
  • Developing robotics systems across simulation, sensing integration, and prototyping toward deployable platforms.

Robotics Simulation & VLA Data Engineer · Freelance — Contract Work (Aug 2025 – Dec 2025 · Remote)

  • Built simulation-based data workflows for training foundation Vision-Language-Action (VLA) models.
  • Turned robot task demonstrations, environment variations, and action-observation logs into structured datasets for imitation learning.
  • Added data-quality checks for episode consistency, action-label alignment, and success/failure filtering with reproducible dataset generation.

Robotics & Mechatronics Engineer · Upsurge Labs (Dec 2024 – Jul 2025)

  • Trained RL-based table-tennis robot policies (PPO) in NVIDIA Isaac Sim for racket motion and ball-return behavior — strong performance in simulation.
  • Designed a custom 6-DOF arm (URDF modeling, joint tuning, ESP32/Jetson targets) with ROS/MoveIt planning and PID/impedance control in simulation.
  • Real-world deployment was limited by high-speed perception hardware constraints; shifted to generating Isaac Sim datasets in LeRobot format — using Black Coffee Robotics' bcr_bot — for NVIDIA GR00T N1 VLA training.

Junior Research Fellow · Space Dynamics & Flight Control Lab, IIT Kanpur (Oct 2024 – Dec 2024 · Kanpur, India)

  • Built an instrumented single-wheel test setup for rover wheel–terrain interaction on loose, sandy terrain.
  • Developed a MATLAB EKF-based slip estimation and detection algorithm from testbed sensor data; the lab's paper built on this testbed won Best Paper (Docking & Rover Technologies) at IEEE SPACE 2025.
  • Developed a six-wheeled rocker-bogie rover prototype and investigated wheel–terrain interaction models.

Venture Fellow · Researcher & Product Developer · NYU Tandon Future Labs — A/X Venture Studio (Jan 2024 – Jul 2024 · Brooklyn, NY)

  • Led medical robotics research for a robotic-assisted surgical catheter, collaborating with the NYU Langone Aortic Center.
  • Prototyped cable-actuated end effectors (additive manufacturing + electro-mechanical integration) and ran biocompatibility and sterilization studies.
  • Refined designs with surgeons and clinicians; analyzed FDA 510(k)/CE regulatory pathways and commercialization potential.

Research Intern, Advanced Defense Systems — Naval Radars · Bharat Electronics Ltd. (Apr 2021 – May 2021 · Bengaluru, India)

  • Contributed to the design and development of radar hubs for naval ships.
  • Modeled functional units in SolidWorks and ran simulations in ANSYS across the radar-hub lifecycle.

Skills

Robotics
ros/ros2moveitros2-controlkinematics-&-dynamicslocalizationpath-planningperceptionurdf
Simulation
isaac-simgazebo/ignitionmujocopybulletrvizvirtual-prototyping
AI / RL
robot-learningreinforcement-learningvla-modelsdeep-learningopencvobject-detection
Software
pythonc++matlabsimulinkopenembedded
Mechanical / Hardware
solidworksfusion360ansysonshapealtium3d-printing-fdm/slalaser-cuttingpcb-designfea
Controls
pidkalman-filteringimpedance-controloptimal-controlactuator-tuning

Certifications

  • NYU Tech Venture Workshop — NYU Entrepreneurial Institute
  • SolidWorks Associate Level Training — Internshala
  • MATLAB Programming — Vanderbilt University, Coursera
  • ROS1 and ROS2 — Udemy
  • Fusion 360: Design for Mechatronics and Generative Design — LinkedIn
  • Deep Learning: Face, Object Recognition and Tracking — LinkedIn
  • Symbolic Math, Simulink Onramp, Solving ODEs with MATLAB — MathWorks