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SHREYA SINHA
Intern Robotics Engineer specializing in autonomous systems and perception
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About
Robotics software candidate with hands-on ROS2 experience building an autonomous UR7e cake-decorating robot, owning trajectory planning from perception-driven design selection through IK-based waypoint execution. Also optimized a depth-camera object-detection system for assistive glasses (doubling FPS from ~5 to ~10) and is currently exploring distributed Raspberry Pi robot networking to emulate satellite-style handoffs.
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Key Strengths
- Built ROS2 trajectory-planning pipeline integrating perception inputs and IK for a UR7e cake-decorating robot
- Iterative tuning of robot execution parameters (gripper height, pattern scaling) to improve output quality
- Diagnosed motion quality issues from position vs velocity control (dotting vs smooth frosting lines)
- Improved real-time CV throughput from ~5 FPS to ~10 FPS via model selection (YOLO-lite) and frame-skipping strategies
- Designed early architecture for distributed robot comms (message interfaces, heartbeat, timestamped messages) on Raspberry Pi over WiFi
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1 publication
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