Literatura académica sobre el tema "Hierarchical quadratic programming"
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Artículos de revistas sobre el tema "Hierarchical quadratic programming"
Kumar, Suchet y Madhuchanda Rakshit. "A Solution of Fuzzy Multilevel Quadratic Fractional Programming Problem through Interactive Fuzzy Goal Programming Approach". International Journal of Fuzzy Mathematical Archive 13, n.º 01 (2017): 83–97. http://dx.doi.org/10.22457/ijfma.v13n1a9.
Texto completoPérez-Villeda, Héctor M., Gustavo Arechavaleta y América Morales-Díaz. "Multi-vehicle coordination based on hierarchical quadratic programming". Control Engineering Practice 94 (enero de 2020): 104206. http://dx.doi.org/10.1016/j.conengprac.2019.104206.
Texto completoEscande, Adrien, Nicolas Mansard y Pierre-Brice Wieber. "Hierarchical quadratic programming: Fast online humanoid-robot motion generation". International Journal of Robotics Research 33, n.º 7 (mayo de 2014): 1006–28. http://dx.doi.org/10.1177/0278364914521306.
Texto completoShi, Xuanyang, Junyao Gao, Yizhou Lu, Dingkui Tian y Yi Liu. "Biped Walking Based on Stiffness Optimization and Hierarchical Quadratic Programming". Sensors 21, n.º 5 (2 de marzo de 2021): 1696. http://dx.doi.org/10.3390/s21051696.
Texto completoKoung, Daravuth, Olivier Kermorgant, Isabelle Fantoni y Lamia Belouaer. "Cooperative Multi-Robot Object Transportation System Based on Hierarchical Quadratic Programming". IEEE Robotics and Automation Letters 6, n.º 4 (octubre de 2021): 6466–72. http://dx.doi.org/10.1109/lra.2021.3092305.
Texto completoKim, Sanghyun, Keunwoo Jang, Suhan Park, Yisoo Lee, Sang Yup Lee y Jaeheung Park. "Continuous Task Transition Approach for Robot Controller Based on Hierarchical Quadratic Programming". IEEE Robotics and Automation Letters 4, n.º 2 (abril de 2019): 1603–10. http://dx.doi.org/10.1109/lra.2019.2896769.
Texto completoTian, Dingkui, Junyao Gao, Xuanyang Shi, Yizhou Lu y Chuzhao Liu. "Vertical Jumping for Legged Robot Based on Quadratic Programming". Sensors 21, n.º 11 (25 de mayo de 2021): 3679. http://dx.doi.org/10.3390/s21113679.
Texto completoAbohany, A. A., Rizk Masoud Rizk-Allah, Diana T. Mosa y 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, n.º 4 (octubre de 2020): 137–65. http://dx.doi.org/10.4018/ijssmet.2020100109.
Texto completoLi, Gang, Hai Lan Han, Chao Wang y 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 (mayo de 2014): 2293–96. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.2293.
Texto completoWang, Pengcheng, Weile Xu, Hao Zhu, Hui Tian y 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, n.º 12 (1 de diciembre de 2022): 778. http://dx.doi.org/10.3390/aerospace9120778.
Texto completoTesis sobre el tema "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.
Texto completoKoung, Daravuth. "Cooperative navigation of a fleet of mobile robots". Electronic Thesis or Diss., Ecole centrale de Nantes, 2022. http://www.theses.fr/2022ECDN0044.
Texto completoThe 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
Actas de conferencias sobre el tema "Hierarchical quadratic programming"
Tassi, Francesco, Elena De Momi y Arash Ajoudani. "Augmented Hierarchical Quadratic Programming for Adaptive Compliance Robot Control". En 2021 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2021. http://dx.doi.org/10.1109/icra48506.2021.9561506.
Texto completoTassi, Francesco, Soheil Gholami, Simone Giudice y Arash Ajoudani. "Impact Planning and Pre-configuration based on Hierarchical Quadratic Programming". En 2022 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2022. http://dx.doi.org/10.1109/icra46639.2022.9811681.
Texto completoLutscher, Ewald y Gordon Cheng. "Hierarchical inequality task specification for indirect force controlled robots using quadratic programming". En 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2014). IEEE, 2014. http://dx.doi.org/10.1109/iros.2014.6943234.
Texto completoKim, Myeong-Ju, Daegyu Lim, Gyeongjae Park y Jaeheung Park. "Humanoid Balance Control using Centroidal Angular Momentum based on Hierarchical Quadratic Programming". En 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2022. http://dx.doi.org/10.1109/iros47612.2022.9981036.
Texto completoTassi, Francesco, Francesco Iodice, Elena De Momi y Arash Ajoudani. "Sociable and Ergonomic Human-Robot Collaboration through Action Recognition and Augmented Hierarchical Quadratic Programming". En 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2022. http://dx.doi.org/10.1109/iros47612.2022.9982160.
Texto completoKim, Sanghyun, Keunwoo Jang, Suhan Park, Yisoo Lee, Sang Yup Lee y Jaeheung Park. "Whole-body Control of Non-holonomic Mobile Manipulator Based on Hierarchical Quadratic Programming and Continuous Task Transition". En 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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