Siva Teja Avanigadda

• Developed C++/Python/ROS-based perception and machine vision systems for industrial robotics. • Implemented 2D/3D image and point cloud processing using OpenCV and PCL. • Integrated cameras, LiDARs, PLCs, and robotic systems through ROS communication pipelines. • Commissioned and optimized machine vision systems in live production environments. • Built Linux-based development workflows using Docker, Git, and Azure DevOps. • Performed debugging and fault analysis for robotic vision systems.

• Developed a C++/Python/Blender-based autonomous bin-picking system using stereo vision, deep learning, and 6D pose estimation. • Integrated perception pipeline with ABB YuMi robot using TCP/IP and RAPID for pick-and-place operations. • Created synthetic data generation pipelines and physics-based simulation workflows in Blender using Python. • Implemented stereo calibration, sensor fusion, ONNX optimisation, and real-time GUIs and monitoring tools for robotic perception systems.

• Developed and commissioned computer vision solutions for industrial inspection systems, including weld seam and gear inspection applications. • Integrated camera and sensor systems into production lines and conducted on-site testing, troubleshooting, and commissioning activities. • Developed Python-based image processing and data analysis pipelines for automated real-time quality inspection workflows. • Performed image preprocessing, validation, and performance optimisation for stable deployment.

Grade: 1.8 Focus: Computer Vision, Image Processing for Automated Production, Digital Signal Processing & Machine Learning, Statistics, Model-Based Development, Advanced Control Systems, Microelectronics, Reliability of Mechatronic Systems.