Control framework of the ROBILAUT soil sampling robot: system overview and experimental results
Daniele Di Vito, Paolo Di Lillo, Filippo Arrichiello, C Ferone, Raffaele Amico, Gianluca Antonelli
Università degli studi di Cassino e del Lazio Meridionale Natura (Brazil) Object Computing (United States)
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The paper presents the control architecture of a crawler mobile robot designed and developed to sample potentially contaminated lands. The robot, developed in the framework of an Italian national project named ROBILAUT, carries a driller with a customized sampling mechanism to implement on-site the required quartering, and it is controlled to move the drilling device on specific points acquired in real time before the mission starts. The paper describes the software architecture for the navigation and control, focusing on the control framework of the robotic platform. Specifically, the robot exhibits a differential drive kinematics with actuators’ constraints, and two different control strategies have been experimentally tested for comparison both in a structured environment and in the real site in May 2023.
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计算机 / AIRobotic Path Planning Algorithms
Robotics and Sensor-Based Localization · Modular Robots and Swarm Intelligence
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