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Thomas Eiband

DLR German Aerospace Center
Institute of Robotics and Mechatronics

Research interests

  • Intuitive skill transfer
  • Programming by Demonstration / Learning from Demonstration
  • Robot learning of interaction, contact and force-based tasks

 

CV

Since 2017 Research Associate
2015 - 2017 M.Sc. Electrical Engineering, Technical University of Munich
2011 - 2015 B.Sc. Electrical Engineering, Munich University of Applied Sciences

 

Publications

 

  1. Thomas Eiband, Christoph Willibald, Isabel Tannert, Bernhard Weber, and Dongheui Lee, “Collaborative Programming of Robotic Task Decisions and Recovery Behaviors,” Autonomous Robots, p. accepted, 2022.
     
  2. Thomas Eiband and Dongheui Lee, “Identification of common force-based robot skills from the human and robot perspective,” in IEEE-RAS 20th International Conference on Humanoid Robots (Humanoids), 2021, pp. 507–513.
     
  3. Zeju Qiu, Thomas Eiband, Shile Li, and Dongheui Lee, "Hand Pose-based Task Learning from Visual Observations with Semantic Skill Extraction," 29th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), 2020

  4. Markus Nowak, Thomas Eiband, Eduardo Ruiz Ramírez, and Claudio Castellini, "Action interference in simultaneous and proportional myocontrol: Comparing force- and electromyography," Journal of Neural Engineering, 2020

  5. Thomas Eiband, Matteo Saveriano, and Dongheui Lee, “Intuitive Programming of Conditional Tasks by Demonstration of Multiple Solutions,” IEEE Robotics and Automation Letters, vol. 4, no. 4, pp. 4483–4490, Oct. 2019.

  6. Thomas Eiband, Matteo Saveriano, and Dongheui Lee, “Learning Haptic Exploration Schemes for Adaptive Task Execution,” IEEE International Conference on Robotics and Automation (ICRA), 2019.

  7. Matthias Schöffel, Thomas Eiband, and Dongheui Lee, "Exploiting internal and external force-sensing for compliance during force control," ICRA Workshop on Learning for Industry 4.0: feasability and challenges, 2019

  8. Markus Nowak, Thomas Eiband, and Claudio Castellini. "Multi-modal myocontrol: testing combined force-and electromyography." Rehabilitation Robotics (ICORR), 2017 International Conference on. IEEE, 2017.

  9. Christian Geiss and Thomas Eiband. "Energy Harvesting Sources for Structural Monitoring in Wind Turbines." IABSE Symposium Report. Vol. 105. No. 47. International Association for Bridge and Structural Engineering, 2015.

Master Thesis

Advanced Myocontrol for Hand and Wrist Prostheses, Technical University of Munich, 2017 

Last updated on Monday, 17 January 2022 by Thomas Eiband