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Surface Exploration with a Robot-Trailer System for Autonomous Subsurface Scanning

Efthimios Tsiogas, Ioannis Kostavelis, Georgios Kouros, Andreas Kargakos, Dimitrios Giakoumis, Dimitrios Tzovaras

Year
2019
Citations
2

Abstract

Autonomous surface exploration with mobile robots entails the problem of simultaneous trajectory planning and path tracking, while also on-board robot localization and kinematics control are essential. When it comes to articulated robotic setups, planning and control is more challenging since the towed component that typically bears a tool or a sensing mechanism should closely follow a specific trajectory in order to accurately complete its task. The paper at hand presents a holistic surface exploration method with an articulated mobile robot that tows a two-wheeled trailer. A variation of Boustrophedon global path planing module has been developed considering robot's embodiment for full field coverage, integrated with a real-time Model Predictive Controller (MPC) to ensure trailer's path following. Articulated robot's state estimation is provided with stereo-based visual odometry. The system has been evaluated both in simulation and in realistic environment, proving its ability to perform dense surface exploration that in our particular case, eventually enables a Ground Penetrating Radar (GPR) mounted on the trailer to autonomously scan the entire target area.

Keywords

Mobile robotTrajectoryOdometryRobotComputer scienceTrailerMotion planningKinematicsComputer visionArtificial intelligence

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