Siddharth Senthilnathan

• Performed hands-on maintenance and operational support for HAI ROBOTICS systems, including HaiPick A42/A42TH and K50H robots, with a focus on reliable warehouse operations.
• Replaced robot charging ports and applied DM codes on the warehouse floor to enhance robot navigation around storage racks.
• Consolidated items from multiple containers to optimize container-space utilization and streamline warehouse operations.

• Operate and monitor HAI Robotics warehouse automation systems, including HaiPick A42 and K50H robots, to support reliable material handling and warehouse operations.
• Monitored robot status, battery levels, connectivity, and operational conditions using RobotBox and ESS Equipment Management Platform to ensure optimal performance.
• Assisted in troubleshooting and maintenance by monitoring system alerts and identifying equipment issues, contributing to sustained operational reliability.

Automated end-to-end testing with Bash & Jenkins, reducing manual effort and increasing regression test coverage by 10%.

• Developed a 3-axis Shake Test Automation Robot to validate the consistency of Radar detection data over time
• Designed mechanical setup in AutoCAD and assembled custom hardware components for testing robustness of radar detection.
• Integrated stepper motors controlled by Arduino and Python over serial communication onto the setup.

Implemented a Radar Point Cloud Binary Classification ML model to classify Point cloud clusters into Vehicle & Pedestrian

• Created labeled 3D point cloud dataset from 50 ROS bag files using ProViz Webapp and Selenium Web automation to enhance model training.
• Trained a PointNet model using PyTorch on Jetson Xavier for binary pedestrian/vehicle classification with 93% accuracy.
• Implemented centroid-based clustering and tracking to preprocess point clouds, achieving real-time inference of 80% accuracy for improved data analysis.