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Introduction

  • Daniel Sebastian Leidner
Chapter
Part of the Springer Tracts in Advanced Robotics book series (STAR, volume 127)

Abstract

As technology continuously moves forward, universal service robots are envisaged to catch up with the human ability to master almost every task in everyday environments. Potential application domains range from personal assistance in domestic households to professional service in various areas, such as commercial estate, health-care applications, and public service. These robots will have to take care of the daily needs of the humans they are serving. One particular task of interest is cleaning, or more general wiping. This chapter provides an overview on the requirements and challenges related to this class of actions by investigating several perspectives.

References

  1. Beetz, Michael, Moritz Tenorth, and Jan Winkler. 2015. Open-EASE—A Knowledge Processing Service for Robots And Robotics/AI Researchers. In IEEE International Conference on Robotics and Automation (ICRA), pp. 1983–1990.Google Scholar
  2. Birkenkampf, Peter, Daniel Leidner, and Neal Y. Lii. 2017. Ubiquitous User Interface Design for Space Robotic Operation. In Proceedings of the 14th Symposium on Advanced Space Technologies for Robotics and Automation (ASTRA).Google Scholar
  3. Birkenkampf, Peter, Daniel Leidner, and Christoph Borst. 2014. A Knowledge-driven Shared Autonomy Human-robot Interface for Tablet Computers. In Proceedings of the IEEE/RAS International Conference On Humanoid Robots (ICHR), pp. 152–159.Google Scholar
  4. Capek, Karel. 1921. R.U.R. (Rossum’s Universal Robots).Google Scholar
  5. Cakmak, Maya, and Leila Takayama. 2013. Towards a Comprehensive Chore List for Domestic Robots. In Proceedings of the ACM/IEEE International Conference on Human-robot Interaction (HRI), pp. 93–94.Google Scholar
  6. Cruz, Francisco, German I Parisi, and Stefan Wermter. 2015. Contextual Affordances for Action-effect Prediction in a Robotic-cleaning Task. In Proceedings of the Workshop on Learning Object Affordances at the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).Google Scholar
  7. Diankov, Rosen. 2010. Automated Construction of Robotic Manipulation Programs. PhD thesis, Carnegie Mellon University, Robotics Institute.Google Scholar
  8. Dietrich, Alexander. 2015. Whole-Body Impedance Control of Wheeled Humanoid Robots. PhD thesis, Technische Universität München (TUM).Google Scholar
  9. Forlizzi, Jodi and Carl DiSalvo. 2006. Service Robots in the Domestic Environment: A Study of the Roomba Vacuum in the Home. In Proceedings of the 1st ACM SIGCHI/SIGART Conference on Human-robot Interaction (HRI), pp. 258–265.Google Scholar
  10. Flanagan, J.Randall, Miles C. Bowman, and Roland S. Johansson. 2006. Control Strategies in Object Manipulation Tasks. Current Opinion in Neurobiology 16 (6): 650–659.CrossRefGoogle Scholar
  11. Ghallab, Malik, Adele Howe, Dave Christianson, Drew McDermott, Ashwin Ram, Manuela Veloso, Daniel Weld, and David Wilkins. 1998. PDDL—The Planning Domain Definition Language. AIPS98 Planning Committee 78 (4): 1–27.Google Scholar
  12. Grebenstein, Markus. 2012. Approaching Human Performance. PhD thesis, Springer.Google Scholar
  13. Gibson, James J. 1986. The Ecological Approach to Visual Perception. Routledge.Google Scholar
  14. Hart, Stephen, Paul Dinh, and Kimberly Hambuchen. 2015. The Affordance template ROS Package for Robot Task Programming. In Proceedings of the IEEE International Conference on Robotics And Automation (ICRA), pp. 6227–6234.Google Scholar
  15. Harnad, Stevan. 1990. The Symbol Grounding Problem. Physica D: Nonlinear Phenomena 42 (1–3): 335–346.CrossRefGoogle Scholar
  16. Helmert, Malte. 2006. The Fast Downward Planning System. Journal of Artifcial Intelligence Research 26: 191–246.CrossRefGoogle Scholar
  17. Hagengruber, Annette Daniel Leidner, and Jörn Vogel. 2017. EDAN—EMG-Controlled Daily Assistant. In Proceedings of the ACM/IEEE International Conference on Human-robot Interaction (HRI), pp. 409.Google Scholar
  18. Hogan, Neville. 1985. Impedance Control: An Approach to Manipulation: Part I-Theory, Part II–Implementation, Part III–Applications. Journal of Dynamic Systems, Measurement, and Control 107: 1–24.CrossRefGoogle Scholar
  19. Katz, Sidney. 1983. Assessing Self-maintenance: Activities of Daily Living, Mobility, and Instrumental Activities of Daily Living. Journal of the American Geriatrics Society 31 (12): 721–727.CrossRefGoogle Scholar
  20. Kawato, Mitsuo. 1999. Internal Models for Motor Control and Trajectory Planning. Current Opinion in Neurobiology 9 (6): 718–727.CrossRefGoogle Scholar
  21. Kunze, Lars. 2014. Naive Physics and Commonsense Reasoning for Everyday Robot Manipulation. PhD thesis, Technische Universität München (TUM).Google Scholar
  22. Lii, Neal Y, Daniel Leidner, André Schiele, Peter Birkenkampf, Benedikt Pleintinger, and Ralph Bayer. 2015b. Command Robots From Orbit with Supervised Autonomy: An Introduction to the METERON SUPVIS Justin Telerobotic Experiment. In Proceedings of the ACM/IEEE International Conference on Human-robots Interaction (HRI), pp. 53–54.Google Scholar
  23. Leidner, Daniel, Alexander Dietrich, Michael Beetz, and Alin Albu-Schäffer. 2016b. Knowledge-Enabled Parameterization of Whole-body Control Strategies for Compliant Service Robots. Autonomous Robots (AURO): Special Issue on Whole-Body Control of Contacts and Dynamics for Humanoid Robots 40 (3): 519–536.Google Scholar
  24. Leidner, Daniel, Neal Y. Lii, and Peter Birkenkampf. 2017. Context-Aware Mission Control for Astronaut-robot Collaboration. In Proceedings of the 14th Symposium on Advanced Space Technologies For Robotics And Automation (ASTRA).Google Scholar
  25. Leidner, Daniel and Michael Beetz. 2016. Inferring the Effects of Wiping Motions based on Haptic Perception. In Proceedings of the IEEE/RAS International Conference on Humanoid Robots (ICHR), pp. 461–468.Google Scholar
  26. Leidner, Daniel, Christoph Borst, Alexander Dietrich, and Alin Albu-Schäffer. 2015a. Classifying Compliant Manipulation Tasks for Automated Planning in Robotics. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 1769–1776.Google Scholar
  27. Leidner, Daniel, Alexander Dietrich, Florian Schmidt, Christoph Borst, and Alin Albu-Schäffer. 2014b. Object-Centered Hybrid Reasoning for Whole-body Mobile Manipulation. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), pp. 1828–1835.Google Scholar
  28. Leidner, Daniel and Alexander Dietrich. 2015. Towards Intelligent Compliant Service Robots. In Twenty-Ninth AAAI Conference on Artificial Intelligence, AAAI Video Competition. http://youtu.be/jgIwgcz8iaM.
  29. Leidner, Daniel Sebastian. 2017. Cognitive Reasoning for Compliant Robot Manipulation. PhD thesis, University of Bremen.Google Scholar
  30. Leidner, Daniel and Christoph Borst. 2013. Hybrid Reasoning for Mobile Manipulation based on Object Knowledge. In Proceedings of the Workshop on AI-based Robotics at IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).Google Scholar
  31. Leidner, Daniel, Selma Music, and Armin Wedler. 2015b. Robotic Deployment of Extraterrestrial Seismic Networks. In Proceedings of the 13th Symposium on Advanced Space Technologies in Robotics and Automation (ASTRA).Google Scholar
  32. Lii, Neal Y., Daniel Leidner, Peter Birkenkampf, Benedikt Pleintinger, Ralph Bayer, and Thomas Krueger. 2017. Toward Scalable Intuitive Teleoperation of Robots for Space Deployment with the METERON SUPVIS Justin Experiment. In Proceedings of the 14th Symposium on Advanced Space Technologies for Robotics and Automation (ASTRA).Google Scholar
  33. Leidner, Daniel, Wissam Bejjani, Alin Albu-Schäffer, and Michael Beetz. 2016a. Robotic Agents Representing, Reasoning, and Executing Wiping Tasks for Daily Household Chores. In Proceedings of the International Conference on Autonomous Agents and Multiagent Systems (AAMAS), pp. 1006–1014.Google Scholar
  34. Leidner, Daniel, Christoph Borst, and Gerd Hirzinger. 2012. Things are Made for What they are: Solving Manipulation Tasks by Using Functional Object Classes. In Proceedings of the IEEE/RAS International Conference on Humanoid Robots (ICHR), pp. 429–435.Google Scholar
  35. Leidner, Daniel, Peter Birkenkampf, Neal Y. Lii, and Christoph Borst. 2014b. Enhancing Supervised Autonomy for Extraterrestrial Applications by Sharing Knowledge Between Humans and Robots. In Proceedings of the Workshop on How to Make Best Use of a Human Supervisor for Semi-autonomous Humanoid Operation at IEEE-RAS International Conference on Humanoid Robots (ICHR).Google Scholar
  36. Lii, Neal Y, Daniel Leidner, André Schiele, Peter Birkenkampf, Ralph Bayer, Benedikt Pleintinger, Andreas Meissner, and Andreas Balzer. 2015a. Simulating an Extraterrestrial Environment for Robotic Space Exploration: The METERON SUPVIS Justin Telerobotic Experiment and the SOLEX Proving Ground. In Proceedings of the 13th Symposium on Advanced Space Technologies in Robotics and Automation (ASTRA).Google Scholar
  37. Leidner, Daniel and Peter Birkenkampf. 2017. Verfahren zum Steuern eines Roboters, German patent application no. 10 2017 209 032.4, filed on May 30, 2017.Google Scholar
  38. Mösenlechner, Lorenz. 2016. The Cognitive Robot Abstract Machine. PhD thesis, Universität München.Google Scholar
  39. Çakmak, Maya, Erol Şahin, Mehmet R. Doğar, Emre Uğur, and Göktürk Üçoluk. 2007. To Afford or Not to afford: A New Formalization of Affordances Toward Affordance-based Robot Control. Adaptive Behavior 15 (4): 447–472.CrossRefGoogle Scholar
  40. Nilsson, Nils J. 1984. Shakey the Robot. DTIC Document: Technical report.Google Scholar
  41. Norman, Donald A., and Tim Shallice. 1980. Attention to Action: Willed and Automatic Control of Behavior. DTIC Document: Technical report.Google Scholar
  42. Nagatani, Keiji, Seiga Kiribayashi, Yoshito Okada, Kazuki Otake, Kazuya Yoshida, Satoshi Tadokoro, Takeshi Nishimura, Tomoaki Yoshida, Eiji Koyanagi, Mineo Fukushima, et al. 2013. Emergency Response to the Nuclear Accident at the Fukushima Daiichi Nuclear Power Plants Using Mobile Rescue Robots. Journal of Field Robotics 30 (1): 44–63.CrossRefGoogle Scholar
  43. Ott, Christian. 2008. Cartesian Impedance Control of Redundant and Flexible-joint Robots, vol. 49. Springer Tracts in Advanced Robotics Berlin Heidelberg: Springer Publishing Company.Google Scholar
  44. Ott, Christian, Alexander Dietrich, Daniel Leidner, Alexander Werner, Johannes Englsberger, Bernd Henze, Sebastian Wolf, Maxime Chalon, Werner Friedl, Alexander Beyer, et al. 2015. From Torque-ontrolled to Intrinsically Compliant Humanoid Robots. Mechanical Engineering 3 (2): 7–11.CrossRefGoogle Scholar
  45. Pratt, Gill, and Justin Manzo. 2013. The DARPA Robotics Challenge. Robotics & Automation Magazine, IEEE 20 (2): 10–12.CrossRefGoogle Scholar
  46. Roa, Maximo A, Max J Argus, Daniel Leidner, Christoph Borst, and Gerd Hirzinger. 2012. Power Grasp Planning for Anthropomorphic Robot Hands. In IEEE International Conference on Robotics and Automation (ICRA), pp. 563–569.Google Scholar
  47. Stemmer, Andreas, Alin Albu-Schäffer, and Gerd Hirzinger. An Analytical Method for the Planning of Robust Assembly Tasks of Complex Shaped Planar Parts. In Proceedings of the IEEE International Conference on Robotics And Automation (ICRA), pp. 317–323.Google Scholar
  48. Stoytchev, Alexander. 2005. Behavior-Grounded Representation of Tool Affordances. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), pp. 3060–3065.Google Scholar
  49. Sterling, Leon and Ehud Y Shapiro. 1994. The art of Prolog: Advanced Programming Techniques. MIT press.Google Scholar
  50. Svensson, Henrik, and Tom Ziemke. 2004. Making Sense of Embodiment: Simulation Theories and the Sharing of Neural Circuitry Between Sensorimotor and Cognitive Processes. In Proceedings of the 26th Annual Meeting of the Cognitive Science Society, pp. 1309–1314.Google Scholar
  51. Tenorth, Moritz M. 2011. Knowledge Processing for Autonomous Robots. PhD thesis, Universität München.Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Institute of Robotics and MechatronicsGerman Aerospace Center (DLR)WesslingGermany

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