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Rohan Punamiya
Junior Robotics Engineer specializing in robot learning, controls, and tactile sensing
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About
Robotics software engineer with Stanford coursework and Georgia Tech research experience, focused on end-to-end autonomy for mobile manipulation and real-time planning under uncertainty. Built a ROS 2 LoCoBot system combining Gemini speech-to-text, YOLO-based RGB-D perception, navigation, and grasping with robust synchronization/TF fixes, and developed an information-theoretic UGV planner for radiological source localization validated via Monte Carlo simulation.
Experience
Education
Key Strengths
- End-to-end autonomous mobile manipulation integration on LoCoBot (perception→planning→control) using ROS 2
- Real-time ROS 2 system reliability improvements (perception/planning synchronization layer with freshness thresholds)
- Resolved TF frame inconsistencies by centralizing TF broadcasting and adding module handshakes
- MoveIt/MoveIt2-based manipulation pipeline development and validation with RViz2 and Gazebo before hardware deployment
- Information-theoretic UGV path planning for radiological zone mapping/localization using Fisher Information Matrix-based objectives
- Validated planning approach via Monte Carlo simulations; outperformed random and grid-based sampling baselines
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