Collaboration between UGV and robotic arm for pick and place tasks

The integration of mobile robots and robotic manipulators presents substantial potential in industrial applications, enabling enhanced productivity and increased process flexibility. This paper investigates the cooperative operation between an Unmanned Ground Vehicle (UGV) and a robotic arm, addressing key challenges such as ground robot localization and object manipulation, including handling of objects with asymmetric geometries. A simulated environment, developed using tools from the Robot Operating System (ROS) framework, was employed to design and validate motion planning and manipulation algorithms. The experiments focused on improving the accuracy and efficiency of pick and place tasks by optimizing UGV positioning and ensuring synchronized collaboration between the robotic agents. These algorithms were designed to boost industrial productivity by promoting greater fluidity and reliability in automated operations.