PUB - Publikationen an der Universität Bielefeld

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• [12]
  

  2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 3002099

  L.M. Lach, et al., “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, New York: IEEE, 2024, pp.725-732.

  PUB | DOI | WoS
   
• [11]
  

  2024 | Konferenzbeitrag | PUB-ID: 2994195

  C. Niemann, et al., “Learning When to Stop: Efficient Active Tactile Perception with Deep Reinforcement Learning”, 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024.

  PUB | PDF | DOI | WoS
   
• [10]
  

  2024 | Bielefelder E-Dissertation | PUB-ID: 2999722

  L.M. Lach, Safe Object Manipulation Strategies Using Tactile Sensors, Bielefeld: Universität Bielefeld, 2024.

  PUB | PDF | DOI
   
• [9]
  

  2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2983880

  M. Härtel, et al., “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 HRI, 2023.

  PUB | PDF
   
• [8]
  

  2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2983878

  L.M. Lach, et al., “Placing by Touching: An Empirical Study on the Importance of Tactile Sensing for Precise Object Placing”, Proc. IROS, 2023.

  PUB | PDF
   
• [7]
  

  2023 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2983934

  L.M. Lach, et al., “Placing by Touching: An empirical study on the importance of tactile sensing for precise object placing”, RoboTac workshop @ IROS, 2023.

  PUB | PDF
   
• [6]
  

  2023 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2983936

  L.M. Lach, et al., “Tactile Sensing for Stable Object Placing”, TouchProcessing workshop @ NeurIPS, 2023.

  PUB | PDF
   
• [5]
  

  2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2986692

  T. Haidegger, et al., “Robotics: Enabler and inhibitor of the Sustainable Development Goals”, Sustainable Production and Consumption, vol. 43, 2023, pp. 422-434.

  PUB | DOI | WoS
   
• [4]
  

  2023 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2983939

  L.M. Lach, et al., “Towards Transferring Tactile-based Continuous Force Control Policies from Simulation to Robot”, TouchProcessing workshop @ NeurIPS, 2023.

  PUB | PDF
   
• [3]
  

  2022 | Konferenzbeitrag | PUB-ID: 2964379

  L.M. Lach, et al., “Bio-Inspired Grasping Controller for Sensorized 2-DoF Grippers”, Proceedings IROS, 2022.

  PUB
   
• [2]
  

  2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2956099

  A. Melnik, et al., “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, vol. 8, 2021, : 538773.

  PUB | PDF | DOI | Download (ext.) | WoS | PubMed | Europe PMC
   
• [1]
  

  2021 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2984329

  L.M. Lach, F. Ferro, and R. Haschke, “TIAGo RL: Simulated Reinforcement Learning Environments with Tactile Data for Mobile Robots”, RoboTac workshop: Visuo-Tactile Perception, Learning, Control for Manipulation and HRI, 2021.

  PUB | PDF