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Evaluation Criteria for Trajectories of Robotic Arms

Michal Dobiš, Martin Dekan, Peter Beňo, František Duchoň, Andrej Babinec

2022Robotics12 citationsDOIOpen Access PDF

Abstract

This paper presents a complex trajectory evaluation framework with a high potential for use in many industrial applications. The framework focuses on the evaluation of robotic arm trajectories containing only robot states defined in joint space without any time parametrization (velocities or accelerations). The solution presented in this article consists of multiple criteria, mainly based on well-known trajectory metrics. These were slightly modified to allow their application to this type of trajectory. Our framework provides the methodology on how to accurately compare paths generated by randomized-based path planners, with respect to the numerous industrial optimization criteria. Therefore, the selection of the optimal path planner or its configuration for specific applications is much easier. The designed criteria were thoroughly experimentally evaluated using a real industrial robot. The results of these experiments confirmed the correlation between the predicted robot behavior and the behavior of the robot during the trajectory execution.

Topics & Concepts

TrajectoryRobotParametrization (atmospheric modeling)Path (computing)Industrial robotComputer sciencePlannerRobotic armMotion planningControl engineeringSimulationMathematical optimizationControl theory (sociology)Artificial intelligenceEngineeringMathematicsControl (management)PhysicsProgramming languageQuantum mechanicsAstronomyRadiative transferRobotic Path Planning AlgorithmsRobot Manipulation and LearningRobotic Mechanisms and Dynamics
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