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Towards a Reference Framework for Tactile Robot Performance and Safety Benchmarking

Robin Jeanne Kirschner, Alexander Kurdas, Kübra Karacan, Philipp Junge, Seyed Ali Baradaran Birjandi, Nico Mansfeld, Saeed Abdolshah, Sami Haddadin

20212021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)25 citationsDOI

Abstract

Improving robot systems via newly-developed sensing devices, control algorithms, or state estimators in order to obtain safe and efficient human-robot interaction as well as tactile manipulation skills requires standardized performance measurement protocols for objective comparison. Common protocols to evaluate robot motion performance are currently defined in EN ISO 9283:1998. For tactile and safety performance, however, no common metrics were agreed on nor standardized yet. In this paper, we propose a set of quantifiable performance criteria for robot performance analysis, objectifying robot force sensing, force control, and collision detection/reaction performance. We introduce the corresponding measurement setups and protocols, demonstrate and experimentally validate each with a Universal Robot UR10e and UR5e as well as a Franka Emika Panda robot arm. The proposed performance criteria, metrics, and experimental setups constitute the basis of a fully tactile performance and safety benchmarking framework that allows to objectively evaluate tactile robot performance via reproducible reference tests.

Topics & Concepts

BenchmarkingRobotComputer scienceTactile sensorSet (abstract data type)SimulationArtificial intelligenceProgramming languageBusinessMarketingRobot Manipulation and LearningSoft Robotics and ApplicationsMuscle activation and electromyography studies
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