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Aayush Sanghvi
Mid-level Robotics & Computer Vision Engineer specializing in perception and industrial automation
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Robotics software/vision engineer with hands-on experience building motion-tracking systems that fuse camera-based 3D tracking with IMU orientation to reproduce tool motion for automated spray painting. Has implemented ROS nodes/packages for Orbbec camera streaming and SAM3-based segmentation, plus CAN bus coordination between robots and Dockerized deployment for a pick-and-place robotic cell.
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Key Strengths
- Built a motion-tracking pipeline combining computer vision + IMU orientation to drive robot motion for automated spray painting
- 3D tracking and coordinate reconstruction from camera data (ball tracking to real-world coordinates)
- ROS development for vision pipelines (camera frame publishing + SAM3 segmentation inference + republishing results)
- Developed ROS package supporting object detection and robotic pick-and-place
- Implemented CAN bus communication to coordinate two robots for pick-and-place
- Used Docker to deploy a containerized single-robot pick-and-place cell
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