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Center of Mass Compliance Control of Humanoid Using Disturbance Observer
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초록
To operate in real environment, humanoid robots should be able to react to unknown disturbances. To deal with disturbances, various robust control algorithms have been developed for decades. But for collaborative works such as teleoperation system, a compliance control can be the better solution for disturbance reactions. In this paper, a center of mass (CoM) compliance control algorithm for humanoid robots is proposed. The proposed algorithm is based on the state observer and positive feedback of disturbance. With the state observer based on humanoid CoM control performance model, disturbance in each direction can be observed. The positive feedback of disturbances to the reference CoM trajectory enables compliant motion. The main contributions of this algorithm are achieving compliance independently in each axis and maintaining balance against external force. Through dynamic simulations, the performance of the proposed method was demonstrated. Under two types of disturbance conditions, humanoid robot DYROS-JET reacted with compliant motion via the proposed algorithm.
Abstract
To operate in real environment, humanoid robots should be able to react to unknown disturbances. To deal with disturbances, various robust control algorithms have been developed for decades. But for collaborative works such as teleoperation system, a compliance control can be the better solution for disturbance reactions. In this paper, a center of mass (CoM) compliance control algorithm for humanoid robots is proposed. The proposed algorithm is based on the state observer and positive feedback of disturbance. With the state observer based on humanoid CoM control performance model, disturbance in each direction can be observed. The positive feedback of disturbances to the reference CoM trajectory enables compliant motion. The main contributions of this algorithm are achieving compliance independently in each axis and maintaining balance against external force. Through dynamic simulations, the performance of the proposed method was demonstrated. Under two types of disturbance conditions, humanoid robot DYROS-JET reacted with compliant motion via the proposed algorithm.
참고문헌 (16)
- K. Kaneko, "Humanoid robot HRP-3", 2008 IEEE, 2008, ~
- I. Park, "Mechanical design of humanoid robot platform KHR-3(KAIST Humanoid Robot 3 : HUBO)", 5th IEEE-RAS International Conference on Humanoid Robots (2005)
- S. Lohmeier, "Humanoid robot LOLA", 2009 IEEE International Conference on Robotics and Automation (2009)
- Eric Krotkov, "The DARPA Robotics Challenge Finals: Results and Perspectives", Journal of Field Robotics, 34(2), pp.229~240 (2016), Wiley[DOI]
- Matthew Johnson, "Team IHMC's Lessons Learned from the DARPA Robotics Challenge Trials", Journal of Field Robotics, 32(2), pp.192~208 (2015), Wiley[DOI]
- Mathew DeDonato, "Team WPI‐CMU: Achieving Reliable Humanoid Behavior in the DARPA Robotics Challenge", Journal of Field Robotics, 34(2), pp.381~399 (2017), Wiley[DOI]
- "Avatar Xprize Contest"[URL]
- C. Lenz, "Bimanual Telemanipulation with Force and Haptic Feedback and Predictive Limit Avoidance", 2021European Conference on Mobile Robots (ECMR) (2021)
- K. Kaneko, "Disturbance observer that estimates external force acting on humanoid robots", 2012 12th IEEE International Workshop on Advanced Motion Control (AMC) (2012)
- Jung-Yup Kim, "ZMP Tracking Control of an Android Robot Leg on Slope-Changing Ground Using Disturbance Observer and Dual Plant Models", International Journal of Humanoid Robotics, 13(03), pp.1550043~ (2016), World Scientific Pub Co Pte Lt[DOI]
- R. J. Griffin, "Disturbance compensation and step optimization for push recovery", 2016IEEE, 2016, ~
- S. Jung, "Force Tracking Impedance Control of Robot Manipulators Under Unknown Environment", IEEE Transactions on Control Systems Technology, 12(3), pp.474~483 (2004), Institute of Electrical and Electronics Engineers (IEEE)[DOI]
- J. Park, "Impedance control for biped robot locomotion", IEEE Transactions on Robotics and Automation, 17(6), pp.870~882 (2001)[DOI]
- V. Duchaine, "General Model of Human-Robot Cooperation Using a Novel Velocity Based Variable Impedance Control", Second Joint EuroHaptics Conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems (WHC’07) (2007)
- M. Kim, "Disturbance Observer Based Linear Feedback Controller for Compliant Motion of Humanoid Robot", 2018 IEEE International Conference on Robotics and Automation (ICRA) (2018)
- M. Kim, "Online Walking Pattern Generation for Humanoid Robot with Compliant Motion Control", 2019IEEE International Conference on Robotics and Automation (ICRA) (2019)