Hello, I'm Shyam Ganatra
Robotics & AI Engineer
Passionate about Robotics and Artificial Intelligence, with a strong academic foundation and hands-on experience. Currently pursuing MS in Robotics and Autonomous Systems at Arizona State University, dedicated to advancing innovation in robotics and AI.
About Me
I'm a dedicated Robotics and AI Engineer currently pursuing my Master's degree in Robotics and Autonomous Systems at Arizona State University. My passion lies in developing intelligent systems that can interact with and understand the world around them.
With experience spanning from academic research to industry applications, I've worked on projects ranging from VR teleoperation systems for humanoid robots to fleet management solutions for autonomous vehicles. I'm particularly interested in the intersection of computer vision, machine learning, and robotics.
Education
MS in Robotics and Autonomous Systems
Arizona State University • Current
BS in Electronics and Communication
CHARUSAT University, India
Experience
Graduate Research Assistant
HiMER Lab at ASU February 2024 - Present- Pursuing thesis on "Unified Multimodal Learning for Robotic Manipulation"
- Improved VR teleoperation systems for humanoid robots
- Developed advanced computer vision algorithms for Reachy robot
Fleet Management Engineer
Recruit Robots July 2021 - May 2022- Developed fleet scheduling system reducing operation costs by 20%
- Created vehicle sensor fusion system for self-driving cars
- Implemented object detection algorithms with 80% accuracy
Founder
Kamdhenu Robotics June 2020 - November 2024- Specialized in ROS and ROS 2.0 robotics development
- Created comprehensive robotics course for Robot Ignite Academy
- Led end-to-end robotics projects and consulting services
Featured Projects
Unified Multimodal Learning for Robotic Manipulation
Master's thesis research focusing on integrating visual, tactile, and proprioceptive feedback for enhanced robotic manipulation capabilities. Developed novel deep learning architectures for multimodal sensor fusion.
VR Teleoperation System for Humanoid Robots
Developed an immersive VR interface for controlling humanoid robots remotely. Implemented real-time motion capture and haptic feedback for intuitive robot control and improved operator experience.
Autonomous Fleet Management System
Built a comprehensive fleet scheduling and management system that reduced operational costs by 20%. Integrated real-time vehicle tracking, route optimization, and predictive maintenance algorithms.
Computer Vision for Reachy Robot
Implemented advanced computer vision algorithms for the Reachy humanoid robot, enabling object recognition, pose estimation, and human-robot interaction capabilities using deep learning models.
Self-Driving Car Sensor Fusion
Developed a sensor fusion system combining LiDAR, camera, and radar data for autonomous vehicles. Achieved 80% accuracy in object detection and tracking for urban driving scenarios.
Robotics Course Platform
Created a comprehensive robotics education platform for Robot Ignite Academy, featuring interactive simulations, hands-on exercises, and real-time robot programming environments.
Skills & Technologies
Robotics
AI & Machine Learning
Programming
Certifications
Awards & Achievements
Winner - LeRobot Hackathon
June 2025 San FranciscoBuilt a LeRobot SO-100 that plays Tic-Tac-Toe using a fully integrated pipeline with 3 cameras, voice input, and OpenAI API. Collected 250+ teleoperated demonstrations and fine-tuned ACT and Hugging Face's smolVLA models.
Poster Presentation - ICRA 2025
May 2025 International Conference on Robotics and Automation"Integration of Vision, Language & Video‑based Learning for Robotic Tasks" - Presented research at the premier robotics conference.
IEEE VR 2025 Paper
March 2025 XRIOS Workshop"Enhancing Human-Robot Teleoperation through Depth Sensing and eXtended Reality" - Novel AR/VR + depth sensing system using Reachy robot and Intel RealSense.
2nd Place - Los Alamos Hackathon
March 2025 Los Alamos National LaboratoryDesigned "Sequoia" - robotics automation system for DNA sequencer preparation. Multi-stage pipeline with robotic arms, conveyor belts, sensors, and laser cutter.
Top Contributor - ROS 2 Humble
2024 Open Robotics CommunityResolved 30 issues during official testing sprint, improving performance, documentation, and usability of ROS2 Humble release.
Get In Touch
I'm always interested in discussing new opportunities, collaborations, or just chatting about robotics and AI. Feel free to reach out!