Добірка наукової літератури з теми "Hierarchical quadratic programming"
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Статті в журналах з теми "Hierarchical quadratic programming"
Kumar, Suchet, and Madhuchanda Rakshit. "A Solution of Fuzzy Multilevel Quadratic Fractional Programming Problem through Interactive Fuzzy Goal Programming Approach." International Journal of Fuzzy Mathematical Archive 13, no. 01 (2017): 83–97. http://dx.doi.org/10.22457/ijfma.v13n1a9.
Повний текст джерелаPérez-Villeda, Héctor M., Gustavo Arechavaleta, and América Morales-Díaz. "Multi-vehicle coordination based on hierarchical quadratic programming." Control Engineering Practice 94 (January 2020): 104206. http://dx.doi.org/10.1016/j.conengprac.2019.104206.
Повний текст джерелаEscande, Adrien, Nicolas Mansard, and Pierre-Brice Wieber. "Hierarchical quadratic programming: Fast online humanoid-robot motion generation." International Journal of Robotics Research 33, no. 7 (May 2014): 1006–28. http://dx.doi.org/10.1177/0278364914521306.
Повний текст джерелаShi, Xuanyang, Junyao Gao, Yizhou Lu, Dingkui Tian, and Yi Liu. "Biped Walking Based on Stiffness Optimization and Hierarchical Quadratic Programming." Sensors 21, no. 5 (March 2, 2021): 1696. http://dx.doi.org/10.3390/s21051696.
Повний текст джерелаKoung, Daravuth, Olivier Kermorgant, Isabelle Fantoni, and Lamia Belouaer. "Cooperative Multi-Robot Object Transportation System Based on Hierarchical Quadratic Programming." IEEE Robotics and Automation Letters 6, no. 4 (October 2021): 6466–72. http://dx.doi.org/10.1109/lra.2021.3092305.
Повний текст джерелаKim, Sanghyun, Keunwoo Jang, Suhan Park, Yisoo Lee, Sang Yup Lee, and Jaeheung Park. "Continuous Task Transition Approach for Robot Controller Based on Hierarchical Quadratic Programming." IEEE Robotics and Automation Letters 4, no. 2 (April 2019): 1603–10. http://dx.doi.org/10.1109/lra.2019.2896769.
Повний текст джерелаTian, Dingkui, Junyao Gao, Xuanyang Shi, Yizhou Lu, and Chuzhao Liu. "Vertical Jumping for Legged Robot Based on Quadratic Programming." Sensors 21, no. 11 (May 25, 2021): 3679. http://dx.doi.org/10.3390/s21113679.
Повний текст джерелаAbohany, A. A., Rizk Masoud Rizk-Allah, Diana T. Mosa, and Aboul Ella Hassanien. "A Novel Approach for Solving a Fully Rough Multi-Level Quadratic Programming Problem and Its Application." International Journal of Service Science, Management, Engineering, and Technology 11, no. 4 (October 2020): 137–65. http://dx.doi.org/10.4018/ijssmet.2020100109.
Повний текст джерелаLi, Gang, Hai Lan Han, Chao Wang, and Gao Feng Ma. "Study on Fuzzy PI Control of Vehicle Yaw Moment Based on Optimal Allocation of Braking Forces." Applied Mechanics and Materials 556-562 (May 2014): 2293–96. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.2293.
Повний текст джерелаWang, Pengcheng, Weile Xu, Hao Zhu, Hui Tian, and Guobiao Cai. "An Application of Analytical Target Cascading for a Hierarchical Multidisciplinary System: The Preliminary Design of a Launch Vehicle Powered by Hybrid Rocket Motors." Aerospace 9, no. 12 (December 1, 2022): 778. http://dx.doi.org/10.3390/aerospace9120778.
Повний текст джерелаДисертації з теми "Hierarchical quadratic programming"
Johansson, Marcus. "Online Whole-Body Control using Hierarchical Quadratic Programming : Implementation and Evaluation of the HiQP Control Framework." Thesis, Linköpings universitet, Artificiell intelligens och integrerade datorsystem, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-133224.
Повний текст джерелаKoung, Daravuth. "Cooperative navigation of a fleet of mobile robots." Electronic Thesis or Diss., Ecole centrale de Nantes, 2022. http://www.theses.fr/2022ECDN0044.
Повний текст джерелаThe interest in integrating multirobot systems (MRS) into real-world applications is increasing more and more, especially for performing complex tasks. For loadcarrying tasks, various load-handling strategies have been proposed such as: pushingonly, caging, and grasping. In this thesis, we aim to use a simple handling strategy: placing the carrying object on top of a group of wheeled mobile robots. Thus, it requires a rigid formation control. A consensus algorithm is one of the two formation controllers we apply to the system. We adapt a dynamic flocking controller to be used in the singleintegrator system, and we propose an obstacle avoidance that can prevent splitting while evading the obstacles. The second formation control is based on hierarchical quadratic programming (HQP). The problem is decomposed into multiple task objectives: formation, navigation, obstacle avoidance, velocity limits. These tasks are represented by equality and inequality constraints with different levels of priority, which are solved sequentially by the HQP. Lastly, a study on task allocation algorithms (Contract Net Protocol and Tabu Search) is carried out in order to determine an appropriate solution for allocating tasks in the industrial environment
Тези доповідей конференцій з теми "Hierarchical quadratic programming"
Tassi, Francesco, Elena De Momi, and Arash Ajoudani. "Augmented Hierarchical Quadratic Programming for Adaptive Compliance Robot Control." In 2021 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2021. http://dx.doi.org/10.1109/icra48506.2021.9561506.
Повний текст джерелаTassi, Francesco, Soheil Gholami, Simone Giudice, and Arash Ajoudani. "Impact Planning and Pre-configuration based on Hierarchical Quadratic Programming." In 2022 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2022. http://dx.doi.org/10.1109/icra46639.2022.9811681.
Повний текст джерелаLutscher, Ewald, and Gordon Cheng. "Hierarchical inequality task specification for indirect force controlled robots using quadratic programming." In 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2014). IEEE, 2014. http://dx.doi.org/10.1109/iros.2014.6943234.
Повний текст джерелаKim, Myeong-Ju, Daegyu Lim, Gyeongjae Park, and Jaeheung Park. "Humanoid Balance Control using Centroidal Angular Momentum based on Hierarchical Quadratic Programming." In 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2022. http://dx.doi.org/10.1109/iros47612.2022.9981036.
Повний текст джерелаTassi, Francesco, Francesco Iodice, Elena De Momi, and Arash Ajoudani. "Sociable and Ergonomic Human-Robot Collaboration through Action Recognition and Augmented Hierarchical Quadratic Programming." In 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2022. http://dx.doi.org/10.1109/iros47612.2022.9982160.
Повний текст джерелаKim, Sanghyun, Keunwoo Jang, Suhan Park, Yisoo Lee, Sang Yup Lee, and Jaeheung Park. "Whole-body Control of Non-holonomic Mobile Manipulator Based on Hierarchical Quadratic Programming and Continuous Task Transition." In 2019 IEEE 4th International Conference on Advanced Robotics and Mechatronics (ICARM). IEEE, 2019. http://dx.doi.org/10.1109/icarm.2019.8834269.
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