ErgoBot

Dynamische und ergonomische Adaption von Roboterbewegungen an den Menschen in Kollaborations-Szenarien durch maschinelles Lernen und Bewegungsanalyse.
 

Projektbereich: Intelligente vernetzte Systeme 

Cluster: Neue Materialien und Produktionsprozesse
Unternehmensführung und -steuerung
X Intelligente vernetzte Systeme
Innovation in Lehr-/Lernprozessen
X Industrie 4.0 und die Digitalisierung der Lebensbereiche sowie ihre Auswirkungen


Auftraggeber/Mittelgeber: BMWI

Projektträger: AiF

Kooperationspartner: Artiminds

Projektkoordinator: DHBW, Artiminds
 


Projektlaufzeit: 01.11.2018-30.04.2020

Projektbeschreibung + Zielsetzung: Ziel dieses FuE-Projektes ist es, einen ersten Software-Prototypen zu entwickeln, der es ermöglicht, in Mensch-Roboter-Kollaboration die Roboter-Kinematiken dynamisch an die Bedürfnisse der Menschen zu adaptieren. Dabei sollen insbesondere die individuellen biomechanischen Eigenheiten, ergonomische und sicherheitstechnische Anforderungen, psychologische Komponenten sowie betriebswirtschafliche Zielgrößen berücksichtigt werden. Eine Optimierung soll mit Hilfe von Methoden maschinellen Lernens erfolgen und sowohl die einzelne Mensch-Maschine-Interaktion als auch die Produktion über den gesamten Tagesverlauf hinweg im Blick behalten. Dabei gilt es, eine geeignete Balance zwischen der Erwartbarkeit der Roboterbewegung und flexibler Adaption zu finden.

Zielgruppe: keine Angaben

Vorgehensweise/Methodik: keine Angaben


Status/Stadium des Projekts: geschlossen

Ansprechpartner: Prof. Dr. Marcus Strand

Links: Labor : Robot and Human Motion Lab

Publikationen

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  • Raible, Julian; Rettig, Oliver; Alt, Benjamin; Yaman, Alper; Gauger, Isabelle, Biasi, Lorenzo; Müller, Silvan; Katic, Darko; Strand, Marcus; Huber, Marco (2023) : Artificial Neural Network Guided Compensation of Nonlinear Payload and Wear Effects for Industrial Robots In: Xu, Xun; Vogel-Heuser, Birgit; Lu, Yuqian (Hg.): Editorial Proceedings of 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE): Automation for a Resilient Society: 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE): Auckland, New Zealand: 26-30 August 2023. IEEE, S. 1-8. Online verfügbar unter https://ieeexplore.ieee.org/document/10260559
  • Rettig, Oliver; Hinderer, Fabian; Strand, Marcus (2023) : Application of Conformal Geometric Algebra in Robotics: DH-Parameters Extraction from Joint Axes Poses In: IAS Society: Proceedings of the 18th International Conference on Intelligent Autonomous Systems IAS-18: 18th International Conference on Intelligent Autonomous Systems IAS-18: Suwon, Korea: July 4 – 7, 2023. Korea Institute of Robotics and Technology Convergence

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  • Stöckl, Florian; Strand, Marcus; Müller, Silvan; Huber, Marco; Raible, Julian; Braun, Christopher; Katic, Darko; Alt, Benjamin; Merkt, Holger (2023) : Autonomous Surface Grinding of wind turbine blades In: IAS Society: Proceedings of the 18th International Conference on Intelligent Autonomous Systems IAS-18: 18th International Conference on Intelligent Autonomous Systems IAS-18: Suwon, Korea: July 4 – 7, 2023. Korea Institute of Robotics and Technology Convergence

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  • Türk, Nehemia; Strand, Marcus; Rettig, Oliver (2023) : Autonomous Model-Based Inspection Planning for 3D Visual Coverage In: IAS Society: Proceedings of the 18th International Conference on Intelligent Autonomous Systems IAS-18: 18th International Conference on Intelligent Autonomous Systems IAS-18: Suwon, Korea: July 4 – 7, 2023. Korea Institute of Robotics and Technology Convergence

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  • Rettig, Oliver; Strand, Marcus; Müller, Silvan (2022) : Kinematic calibration of a collaborative robot by a marker based optical measurement procedure In: IAS Society: Proceedings of the 17th International Conference on Intelligent Autonomous Systems IAS-17: 17th International Conference on Intelligent Autonomous Systems IAS-17: Zagreb, Croatia: June 13-16, 2022. University of Zagreb Faculty of Electrical Engineering and Computing

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  • Lindinger, Maximilian; Strand, Marcus; Schwarzkopf, Sebastian; Honal, Matthias; Engesser, Raphael (2021) : Fusion Of Radar- And Lidar-Data For Object-Tracking-Applications At Feature Level In: IAS Society: Proceedings of the 16th International Conference on Intelligent Autonomous Systems IAS-16: 16th International Conference on Intelligent Autonomous Systems IAS-16: Singapore: 22-25 June 2021. National University of Singapore

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  • Rettig, Oliver; Müller, Silvan; Strand, Marcus (2021) : A marker based optical measurement procedure to analyse robot arm movements and its application to improve accuracy of industrial robots In: IAS Society: Proceedings of the 16th International Conference on Intelligent Autonomous Systems IAS-16: 16th International Conference on Intelligent Autonomous Systems IAS-16: Singapore: 22-25 June 2021. National University of Singapore

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  • Rettig, Oliver; Strand, Marcus (2021) : Determination of posture comfort zones for robot-human handover tasks In: IAS Society: Proceedings of the 16th International Conference on Intelligent Autonomous Systems IAS-16: 16th International Conference on Intelligent Autonomous Systems IAS-16: Singapore: 22-25 June 2021. National University of Singapore

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  • Waidner, David; Strand, Marcus (2021) : Learning and Transfer of movement gaits using reinforcement learning In: CLAWAR Association: CLAWAR 2021 conference proceedings: 24rd International Conference on Climbing and Walking Robots and the support Technologies for Mobile Machines (CLAWAR 2021): Takarazuka, Japan: 30 Aug - 1 Sep 2021. CLAWAR Association, Kwansei Gakuin University (KGU), Takarazuka, Japan: Springer (AISC Springer Series)

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  • Baumann, Robin; Evers-Senne, Jan-Friso; Strand, Marcus (2019) : Classification of 3D structures based on an object detection for facade elements in multiple views during the reconstruction process In: IEEE: Proceedings of the IEEE Conference on Multisensor Fusion and Integration (MFI) 2019: 2019 IEEE International Conference on Industrial Cyber Physical Systems (ICPS 2019)): Taipeh, Taiwan: 6 – 9 May 2019. Institute of Electrical and Electronics Engineers, Inc.

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  • El-Farouk E. Labib, Omar; El-Safty, Sarah W.; Müller, Silvan; Haalboom, Thomas; Strand, Marcus (2018) : Towards a Stair Climbing Robot System Based on a Re-configurable Linkage Mechanism. Proceedings of the 15th International Conference IAS-15 In: Strand, Marcus; Dillmann, Rüdiger; Menegatti, Emanuele; Ghidoni, Stefano (Hg.): Intelligent Autonomous Systems 15: Proceedings of the 15th International Conference IAS-15: Springer International Publishing (Advances in Intelligent Systems and Computing), S. 278-288
  • Lenk, Max; Hilsendegen, Paula; Rettig, Oliver; Strand, Marcus (2018) : Simulation and Transfer of Reinforcement Learning Algorithms for Autonomous Obstacle Avoidance In: Strand, Marcus; Dillmann, Rüdiger; Menegatti, Emanuele; Ghidoni, Stefano (Hg.): Proceedings of the 15th International Conference IAS-15: 15th International Conference on Intelligent Autonomous Systems IAS-15: Baden-Baden, Germany: Cham: Springer (Advances in Intelligent Systems and Computing)

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  • Rettig, Oliver; Müller, Silvan; Strand, Marcus; Katic, Darko (2018) : Unsupervised Hump Detection for Mobile Robots Based on Kinematic Measurements and Deep-Learning Based Autoencoder In: Strand, Marcus; Dillmann, Rüdiger; Menegatti, Emanuele; Ghidoni, Stefano (Hg.): Proceedings of the 15th International Conference IAS-15: 15th International Conference on Intelligent Autonomous Systems IAS-15: Baden-Baden, Germany: Cham: Springer (Advances in Intelligent Systems and Computing)

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  • Rettig, Oliver; Müller, Silvan; Strand, Marcus (2018) : Which deep artificial neural network architecture to use for anomaly detection in Mobile Robots kinematic data? In: ML4CPS – Machine Learning for Cyber Physical Systems and Industry 4.0: Proceedings of the Conference Machine Learning for Cyber Physical Systems and Industry 4.0 ML4CPS Fraunhofer IOSB: 5th Conference on Machine Learning for Cyber Physical Systems: Karlsruhe: 2018. ML4CPS – Machine Learning for Cyber Physical Systems and Industry 4.0

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  • Rettig, Oliver; Friesenbichler, Bernd (2018): O 073 - Adjunct SHR - A new version of the "classical" Scapulohumeral Rhythm ratio. In: Gait & posture 65 Suppl 1, S. 150-151. DOI: 10.1016/j.gaitpost.2018.06.098
  • Strand, Marcus; Dillmann, Rüdiger; Menegatti, Emanuele; Ghidoni, Stefano (Hg.) (2018): Proceedings of the 15th International Conference IAS-15. 15th International Conference on Intelligent Autonomous Systems IAS-15. Baden-Baden, Germany. Cham: Springer (Advances in Intelligent Systems and Computing). Online verfügbar unter www.ias-15.org
  • Spohn, Leon; Bergen, Marcus; Benz, Nicolai; Vonscheidt, Denis; Haubner, Hans-Jörg; Strand, Marcus (2017) : I Believe I Can Fly—Gesture-Driven Quadrotor Control Based on a Fuzzy Control System In: Chen, Weidong; Hosoda, Koh; Menegatti, Emanuele; Shimizu, Masahiro; Wang, Hesheng (Hg.): Intelligent Autonomous Systems 14: Proceedings of the 14th International Conference IAS-14, 531: Cham: Springer International Publishing (Advances in Intelligent Systems and Computing), S. 177-184