Kinematically optimal catching a flying ball with a hand-arm-system
Abstract
A robotic ball-catching system built from a multi-purpose 7-DOF lightweight arm (DLR-LWR-III) and a 12 DOF four-fingered hand (DLR-Hand-II) is presented. Other than in previous work a mechatronically complex dexterous hand is used for grasping the ball and the decision of where, when and how to catch the ball, while obeying joint, speed and work cell limits, is formulated as an unified nonlinear optimization problem with nonlinear constraints. Three different objective functions are implemented, leading to significantly different robot movements. The high computational demands of an online realtime optimization are met by parallel computation on distributed computing resources (a cluster with 32 CPU cores). The system achieves a catch rate of > 80% and is regularly shown as a live demo at our institute.
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A real-time optimization method for robotic catching to avoid self-collisions and environment-collisions, avoid joint limits, and find smooth joint angle trajectories requires a large amount of computational power; Bauml et al. [4] use an external 32-core high-performance computer in a ball catching experiment.
“Recently, a real-time optimization method was applied to a robotic catching task to avoid self-collisions and environment-collisions, to avoid joint limits (position and velocity), and to find smooth joint angle trajectories. However, it requires a large amount of computational power (Bauml et al. [4] use external 32-core high-performance computer in a ball catching experiment).”
From Catching Objects in Flight (2014) · cites this paper as Bauml et al. [4]
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A Mathematical Introduction to Robotic Manipulation
Murray, R. M., Li, Z., & Sastry, S. (2017) · CRC Press eBooks · doi:10.1201/9781315136370 · Cited by 6,698 · see citing works
LaValle, S. M. (2006) · Cited by 4,174 · see citing works
LaValle, S. (2006) · Cambridge University Press eBooks · doi:10.1017/cbo9780511546877 · Cited by 4,004 · see citing works
A Mathmematical Introduction to Robotic Manipulation
Murray, R. M., Li, Z., & Sastry, S. S. (1994) · Cited by 2,665 · see citing works
Survey of Numerical Methods for Trajectory Optimization
(1998) · doi:10.2514/2.4231 · Cited by 2,614 · see citing works
DLR-Hand II: next generation of a dextrous robot hand
Butterfaß, J., Grebenstein, M., Liu, H., & Hirzinger, G. (2002) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/robot.2001.932538 · Cited by 811 · see citing works
Self-citationOn the Passivity-Based Impedance Control of Flexible Joint Robots
Ott, C., Albu‐Schäffer, A., Kugi, A., & Hirzinger, G. (2008) · IEEE Transactions on Robotics · doi:10.1109/tro.2008.915438 · Cited by 431 · see citing works
Self-citationManipulation planning on constraint manifolds
Berenson, D., Srinivasa, S. S., Ferguson, D., & Kuffner, J. (2009) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/robot.2009.5152399 · Cited by 301 · see citing works
DLR's torque-controlled light weight robot III-are we reaching the technological limits now?
Hirzinger, G., Sporer, N., Albu‐Schäffer, A., et al. (2003) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/robot.2002.1014788 · Cited by 287 · see citing works
Self-citationAn SQP method for general nonlinear programs using only equality constrained subproblems
Spellucci, P. (1998) · Mathematical Programming · doi:10.1007/bf01580078 · Cited by 239 · see citing works
Rollin' Justin - Mobile platform with variable base
Borst, C., Wimböck, T., Schmidt, F., et al. (2009) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/robot.2009.5152586 · Cited by 159 · see citing works
Off-the-shelf vision for a robotic ball catcher
Frese, U., Bauml, B., Haidacher, S., Schreiber, G., Schaefer, I., Hahnle, M., & Hirzinger, G. (2002) · Proceedings 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems. Expanding the Societal Role of Robotics in the the Next Millennium (Cat. No.01CH37180) · doi:10.1109/iros.2001.977211 · Cited by 103 · see citing works
Self-citationExperiments in hand-eye coordination using active vision
Hong, W., & Slotine, J.-J. E. (1997) · Lecture Notes in Control and Information Sciences · doi:10.1007/bfb0035204 · Cited by 87 · see citing works
Robot Catching: Towards Engaging Human-Humanoid Interaction
Riley, M., & Atkeson, C. G. (2002) · Autonomous Robots · doi:10.1023/a:1013223328496 · Cited by 78 · see citing works
Experiments in Robotic Catching
Hove, B., & Slotine, J.-J. E. (1991) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.23919/acc.1991.4791395 · Cited by 63 · see citing works
Experiments in robotic catching
Hove, & Slotine (1991) · doi:10.1109/acc.1991.4174399 · Cited by 57 · see citing works
The DLR Crawler: evaluation of gaits and control of an actively compliant six‐legged walking robot
Görner, M., Wimböck, T., & Hirzinger, G. (2009) · Industrial Robot the international journal of robotics research and application · doi:10.1108/01439910910957101 · Cited by 43 · see citing works
Self-citationAnthropomorphic Soft Robotics – From Torque Control to Variable Intrinsic Compliance
Albu‐Schäffer, A., Eiberger, O., Fuchs, M., et al. (2011) · Springer tracts in advanced robotics · doi:10.1007/978-3-642-19457-3_12 · Cited by 41 · see citing works
When hard realtime matters: Software for complex mechatronic systems
Bäuml, B., & Hirzinger, G. (2007) · Robotics and Autonomous Systems · doi:10.1016/j.robot.2007.09.017 · Cited by 31 · see citing works
Self-citationMotion Planning: Recent Developments
González-Baños, H. H., Hsu, D., & Latombe, J. (2018) · CRC Press eBooks · doi:10.1201/9781315221229-13 · Cited by 30 · see citing works
Using COTS to Construct a High Performance Robot Arm
Smith, C., & Christensen, H. I. (2007) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/robot.2007.364102 · Cited by 26 · see citing works
The humanoid Saika that catches a thrown ball
Nishiwaki, K., Ionno, A., Nagashima, K., et al. (2002) · doi:10.1109/roman.1997.646959 · Cited by 24 · see citing works
Gonz√°lez-Ba√±os, H., Latombe, J., & Hsu, D. (2006) · Automation and control engineering/Automation and control engineering series · doi:10.1201/9781420019445.ch10 · Cited by 4 · see citing works
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Kim, S., Shukla, A., & Billard, A. (2014) · IEEE Transactions on Robotics · doi:10.1109/tro.2014.2316022 · Cited by 220 · see citing works
Trajectory planning for optimal robot catching in real-time
Lampariello, R., Nguyen-Tuong, D., Castellini, C., Hirzinger, G., & Peters, J. (2011) · 2011 IEEE International Conference on Robotics and Automation · doi:10.1109/icra.2011.5980114 · Cited by 117 · see citing works
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- Authors
- Bauml, B., Wimbock, T., & Hirzinger, G.
- Affiliations
- Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR) (DE)
- Venue
- 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems
- Publisher
- IEEE
- Published
- 2010-10
- Pages
- 2592-2599
- ISSN
- 2153-0858 (ISSN-L)
- OpenAlex
- W2040227765
- Cited by
- 113
- References
- 23
- Citations by year
- 2026: 1 · 2025: 5 · 2024: 10 · 2023: 6 · 2022: 7 · 2021: 14 · 2020: 8 · 2019: 5 · 2018: 8 · 2017: 6 · 2016: 4 · 2015: 7 · 2014: 7 · 2013: 5 · 2012: 12
- FWCI
- 14.19
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (publishedVersion)
- elib (German Aerospace Center) (acceptedVersion)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Robotic Mechanisms and Dynamics
- Physical Sciences › Engineering › Control and Systems Engineering › Robot Manipulation and Learning
- Physical Sciences › Engineering › Biomedical Engineering › Soft Robotics and Applications
- Keywords
- hand-arm system, dexterous robotic hand, nonlinear programming, kinematic optimization, real-time optimization, parallel computing, distributed computing, grasping, motion planning
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