12 Publikationen
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2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 3002099Lach, L. M., Haschke, R., Tateo, D., Peters, J., Ritter, H., Borràs, J., & Torras, C. (2024). Zero-Shot Transfer of a Tactile-based Continuous Force Control Policy from Simulation to Robot. 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE International Conference on Intelligent Robots and Systems, 725-732. New York: IEEE. https://doi.org/10.1109/IROS58592.2024.10802386PUB | DOI | WoS
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2024 | Konferenzbeitrag | PUB-ID: 2994195Niemann, C., Leins, D., Lach, L. M., & Haschke, R. (2024). Learning When to Stop: Efficient Active Tactile Perception with Deep Reinforcement Learning. 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). https://doi.org/10.1109/IROS58592.2024.10801966PUB | PDF | DOI | WoS
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2024 | Bielefelder E-Dissertation | PUB-ID: 2999722Lach, L. M. (2024). Safe Object Manipulation Strategies Using Tactile Sensors. Bielefeld: Universität Bielefeld. https://doi.org/10.4119/unibi/2999722PUB | PDF | DOI
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2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2983880Härtel, M., Leins, D., Lach, L. M., & Haschke, R. (2023). Learning safe placement of objects based on tactile feedback. RoboTac workshop: Visuo-Tactile Perception, Learning, Control for Manipulation and HRI, RoboTac workshop: Visuo-Tactile Perception, Learning, Control for Manipulation and HRIPUB | PDF
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2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2986692Haidegger, T., Mai, V., Mörch, C. M., Boesl, D. O., Jacobs, A., Rao, R. B., Khamis, A., et al. (2023). Robotics: Enabler and inhibitor of the Sustainable Development Goals. Sustainable Production and Consumption, 43, 422-434. https://doi.org/10.1016/j.spc.2023.11.011PUB | DOI | WoS
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2022 | Konferenzbeitrag | PUB-ID: 2964379Lach, L. M., Lemaignan, S., Ferro, F., Ritter, H., & Haschke, R. (2022). Bio-Inspired Grasping Controller for Sensorized 2-DoF Grippers. Proceedings IROSPUB
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2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2956099Melnik, A., Lach, L. M., Plappert, M., Korthals, T., Haschke, R., & Ritter, H. (2021). Using Tactile Sensing to Improve the Sample Efficiency and Performance of Deep Deterministic Policy Gradients for Simulated In-Hand Manipulation Tasks. Frontiers in Robotics and AI, 8, 538773. https://doi.org/10.3389/frobt.2021.538773PUB | PDF | DOI | Download (ext.) | WoS | PubMed | Europe PMC
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