Jay Mukeshbhai Kotadiya

I am developing a navigation framework on an Nvidia Jetson board for the Unitree G1 humanoid using ROS 2 Nav2. The system integrates the MID-360 LiDAR for real-time mapping, localisation, and autonomous movement. A robust SLAM Toolbox pipeline ensures accurate navigation between locations, while RViz visualisation validates the generated 2D occupancy grid maps in real time.

I supported the Humanoid AI team integrating robotic systems into Schaeffler’s production environment. I designed and 3D-printed a custom hand mounter for the external Inspire Hand used on the Unitree G1 humanoid. I developed basic navigation for the G1, optimised an Igus 3-axis gantry for gear handling, automated UR EOL packing, integrated a Dobot MG400 for pick-and-place, and modelled custom grippers to enhance performance.

I researched robotic handling and assembly of flexible components, summarising insights to guide future OEM automation strategies. I simulated and executed offline programming (OLP) for a complex automotive assembly path using Siemens Process Simulate. I optimised path planning to prevent collisions during tool changes, gripping, and fitting. Additionally, I performed a wire harness simulation with IPS Cable Simulation to validate fit and motion clearance.

Demonstrated expertise in 2D drawing. Gained knowledge in 3d modeling, part assembly, weld meats, and Mold tools using Solid-works, contributing to the designing of mold for new cast parts. • Acquired basic knowledge in Engineering Analysis, Mold Flow Analysis, and basic Finite Element Analysis for Plastic, composite, rubber, metal parts, and assemblies using the same software.

Collaborated with a cross-functional team to conduct comprehensive quality checking of Textile parts using Textile instruments. Hands-on techniques, including lathe, VMC, drilling, and gas welding, resulted in a reduction in defects and improved product reliability. • Gained expertise in specialized software for mechanical 2D drawing using Solidworks.Acquired basic knowledge in supply chain and production management aspects such as Kanban, 5S, 3M, Value stream.

Motivated Mechanical Engineer with a background in mechanical engineering and currently pursuing a master's degree in E-Mobility with a specialization in Mechatronics and Robotics with additional subjects such as Machine Learning for Engineers-I & II, Machine learning for control systems, Algorithms programming and data representation, and system, International supply chain management, Integrated production systems, Autonomous systems, and Robotics Framework(ROS)