H2Trac EOX-175.
H2Trac EOX-175 Scaled Model.
Cooperative Agriculture Robots
This project focused on the development of cooperative autonomous agricultural robots using scaled models of the H2Trac EOX-175 tractor platform. The system was designed as a research and testing environment for multi-agent robotics, autonomous navigation, and cooperative control algorithms in agriculture.
The platform combined ROS 2 based robotics software, embedded control systems, and simulation workflows to enable multiple autonomous agents to communicate, coordinate, and operate together in a controlled environment. The architecture included both low-level actuator control and high-level autonomy software running on NVIDIA Jetson hardware.
Development covered mechanical and electrical design, CAD modeling, embedded electronics, sensor integration, and distributed robotics software. The project also included Gazebo-based simulation environments, OptiTrack localization integration, path planning, state-machine control, and cooperative multi-robot behaviors.
The system was designed as a scalable robotics research platform capable of supporting autonomous agricultural experimentation, fleet coordination, and future intelligent farming applications. The project emphasized modular software architecture, simulation-driven development, and reliable real-time robotic operation.
My Tasks
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Autoware.Auto Open-source Software
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Global Planning
Implemented route planning using A* based freespace planning methods for autonomous navigation and obstacle avoidance. -
Trajectory Planning
Generated smooth and drivable trajectories from global paths while respecting vehicle kinematic constraints and steering limitations. -
Vehicle Control
Integrated and evaluated both Pure Pursuit and Model Predictive Control (MPC) path-following controllers for Ackermann steering vehicles. -
ROS 2 & Simulation Integration
Connected planning and control modules with Gazebo simulation, localization systems, and custom ROS 2 interfaces for autonomous operation and testing.