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Rugved Ritesh Raote
Junior Robotics Engineer specializing in ROS 2 control stacks and sensor fusion
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About
Robotics software engineer/research associate with an MS in Robotics who built a ROS2-based, self-healing multi-robot fleet framework as a solo developer, combining LLM-driven decision-making (Gemini/ADK) with persistent fleet memory for cross-robot learning. Also has hands-on autonomy stack experience (Nav2, SLAM) and real-world robotics work including EKF sensor fusion for an excavator robot and closed-loop hydraulic control optimization.
Experience
Education
Key Strengths
- Built a self-healing multi-robot orchestration framework solo using ROS2 (manager/worker architecture)
- Integrated LLM-based agents (Gemini via Google Gen AI SDK/ADK) as a high-level decision layer for robots
- Implemented persistent fleet-wide memory enabling cross-robot learning and improved autonomous recovery from 79% to 100%
- Developed adaptive path planning and recovery to resolve deadlocks/stuck conditions using shared experience
- Developed ROS2 EKF sensor fusion stack (IMU/GPS/encoders/LiDAR) for high-precision localization
- Optimized autonomous excavator hydraulic control with closed-loop control theory, reducing actuator latency by 15%
- Established rigorous testing with GitHub Actions and a 15-trial adversarial benchmark suite in simulation
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