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Siddhik Reddy Kurapati
Junior Controls & Motion Planning Engineer specializing in MPC, RL, and autonomous systems
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Robotics researcher focused on learning-based navigation: builds sub-goal generation and cost-to-go models (Bayesian network-based) integrated with motion planning and MPC/NMPC control. Has hands-on ROS 2 package development across vehicles, drones, and manipulators, and uses a broad simulation stack (Isaac Sim, Gazebo, MuJoCo, PyBullet, PX4) to test and integrate systems.
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Key Strengths
- Built a learning-based sub-goal generation framework for robot navigation and integrated it with environment modeling
- Improved ML planner reliability by curating/regenerating training data using compute clusters to reduce false positives
- Handled cluttered-environment edge cases by training multiple specialized networks and integrating them into a motion-planning framework
- Developed ROS 2 motion planning/control modules (including NMPC) from scratch across multiple robotic platforms
- Debugged/optimized real-time MPC behavior for aggressive maneuvers using constraints, integrator terms, and slack-variable formulations
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