Vinoth Kumar
Robotics & Automation Engineer | Mobile Robots • Manipulators • Robot Operating System
About Me
I am a final-year B.Tech student specializing in Automation and Robotics at Amrita Vishwa Vidhyapeetham, Chennai. My academic journey, backed by a CGPA of 8.0, has provided me with a solid foundation in robot kinematics, motion planning, control systems, and machine learning. I thrive on developing innovative solutions and robust algorithms for autonomous robotics, experienced in both simulation and hardware environments. My work spans reinforcement learning, adaptive robotic locomotion, embedded platforms, and behavior tree architectures. I aim to contribute to advanced robotics research and industry, leveraging hands-on expertise and a collaborative mindset.
Projects
RL-Based Gait for Quadruped
- Custom MuJoCo simulation and ROS2 integration for SpotMicro quadruped.
- Designed RL environment for dynamic gait learning and stability improvement.
- Applied reward shaping and parameter tuning to optimize agent performance.
- Validated trained policies in both virtual and real robot setups.
Arboric Robot
- Developed mapless indoor navigation robot using BehaviorTree.CPP.
- Integrated ArUco marker-based waypoint detection for navigation.
- Implemented monocular depth estimation for real-time obstacle avoidance.
- Used synchronized multithreaded execution for fast sensor fusion.
- Won BEST PAPER AWARD at AMMA 2025 for this work.
Neural Network Trajectory Generation
- Designed neural network in MATLAB/Python for ABB IRB’s 6-DOF joint prediction.
- Generated smooth, accurate robot trajectories using spline interpolation.
- Benchmarked neural solutions against traditional inverse kinematics methods.
- Showed improvements in speed and reliability for robot motion planning.
Experience
ROS Developer Intern — TENSRAI Technologies
Nov 2024 – Feb 2025 | Remote
- Developed, tested, and optimized algorithms for Autonomous Mobile Robots (AMR) in Gazebo simulations.
- Generated synthetic datasets using Nvidia Isaac Sim to enhance detection model training (YOLO).
- Focused on reliability and robust validation for real-world robotic deployments.
Robotics Engineer Intern — B-Robotize
Aug 2024 – Oct 2024 | Remote
- Created documentation and educational resources for ROS2 and Micro-ROS platforms.
- Integrated sensors and built efficient communication between robotic platforms.
- Led practical robotics implementations bridging simulation and embedded hardware.
Education
B.Tech in Automation & Robotics, Amrita Vishwa Vidhyapeetham, Chennai (2022–2026)
CGPA: 8.0
Relevant Coursework: Robot Kinematics, Sensors & Signal Processing, Control Systems, Probability & Statistics, Robot Dynamics, Mobile Robotics, Python Programming
Skills
Programming: Python, C++, MATLAB, C
Robotics Platforms: ROS2/ROS, MoveIt2, Micro-ROS, BehaviorTree.CPP
ML/AI Frameworks: PyTorch, TensorFlow, CUDA, OpenCV, OpenAI-Gym
Tools: Git, Docker, Arduino, Raspberry Pi, ESP32, Isaac Sim, Gazebo, PyQT
Other: Embedded Systems, PointCloud Processing, Robotic Vision, Synthetic Data Generation, Sensor Fusion
Certifications
- Applied Kalman Filtering Specialization - Coursera, 2024
- Robotic Process Automation (RPA) Specialization — UiPath, 2024
- Version Control with Git — Coursera, 2023
Volunteering
- Vice Chair — IEEE RAS Student Branch (2024–Present): Coordinated events, mentored peers, and fostered robotics research culture.
- Lead Coordinator — Robotics Club (2023–Present): Organized national competitions, delivered workshops, and supported club members in project development.
Competitions
- 2nd Runner-Up + Best Design Award — Robocon 2024: Mobile manipulator robot for coconut harvesting.
- Participant — Robocup ARM Challenge 2024: Pick-and-place challenge using MATLAB-ROS and YOLO.
- Top 20 — e-Yantra Robotics Competition (Logistic Cobot theme): Advanced handling strategies.
- Winner — INGENIUM 4.O Hackathon (Tantrotsav 2025): Autonomous coordinated robots for logistics.
Awards
BEST PAPER AWARD — Arboric Robot, International Conference on Advancements in Materials, Manufacturing & Automation (AMMA 2025). Recognized for innovative contributions to mapless robotics navigation, behavior tree modularity, and efficient sensor integration.