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\n\n \n \n \n \n \n Motion planning for hybrid UAVs in dense urban environments.\n \n \n \n\n\n \n Nurimbetov, B.; Adiyatov, O.; Yeleu, S.; and Varol, H. A.\n\n\n \n\n\n\n In
2017 IEEE International Conference on Advanced Intelligent Mechatronics (AIM), pages 1627-1632, July 2017. \n
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@INPROCEEDINGS{nurimbetov2017motion, \nauthor={B. Nurimbetov and O. Adiyatov and S. Yeleu and H. A. Varol}, \nbooktitle={2017 IEEE International Conference on Advanced Intelligent Mechatronics (AIM)}, \ntitle={Motion planning for hybrid UAVs in dense urban environments}, \nyear={2017}, \nvolume={}, \nnumber={}, \npages={1627-1632}, \nkeywords={aerospace components;aircraft control;autonomous aerial vehicles;mobile robots;path planning;trees (mathematics);Dubin vehicle based model;VTOL;dense urban environments;fixed-wing flight;hybrid UAV;motion planning;rapidly-exploring random trees;stable sparse RRT motion planner;task planning frameworks;unmanned aerial vehicles;vertical takeoff and landing;Aircraft;Atmospheric modeling;Gravity;Mathematical model;Planning;Rotors;Urban areas}, \ndoi={10.1109/AIM.2017.8014251}, \nISSN={}, \nmonth={July},}\n\n
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\n\n \n \n \n \n \n Sparse tree heuristics for RRT* family motion planners.\n \n \n \n\n\n \n Adiyatov, O.; Sultanov, K.; Zhumabek, O.; and Varol, H. A.\n\n\n \n\n\n\n In
2017 IEEE International Conference on Advanced Intelligent Mechatronics (AIM), pages 1447-1452, July 2017. \n
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@INPROCEEDINGS{adiyatov2017sparse, \nauthor={O. Adiyatov and K. Sultanov and O. Zhumabek and H. A. Varol}, \nbooktitle={2017 IEEE International Conference on Advanced Intelligent Mechatronics (AIM)}, \ntitle={Sparse tree heuristics for RRT* family motion planners}, \nyear={2017}, \nvolume={}, \nnumber={}, \npages={1447-1452}, \nkeywords={collision avoidance;mobile robots;probability;search problems;trees (mathematics);RRT* family motion planners;RRT*K;RRT*Q;binary variable;collision checking;constant time operation;nearest neighbor search;node candidate;resolution quadrant based representation;robot motion planning;sampling-based approaches;single-query probabilistically optimal RRT* algorithm;sparse tree heuristics;Collision avoidance;Heuristic algorithms;Nearest neighbor searches;Planning;Probabilistic logic;Robots;Two dimensional displays}, \ndoi={10.1109/AIM.2017.8014222}, \nISSN={}, \nmonth={July},}\n\n
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\n\n \n \n \n \n \n Successive linearization based model predictive control of variable stiffness actuated robots.\n \n \n \n\n\n \n Zhakatayev, A.; Rakhim, B.; Adiyatov, O.; Baimyshev, A.; and Varol, H. A.\n\n\n \n\n\n\n In
2017 IEEE International Conference on Advanced Intelligent Mechatronics (AIM), pages 1774-1779, July 2017. \n
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@INPROCEEDINGS{zhakatayev2017successive, \nauthor={A. Zhakatayev and B. Rakhim and O. Adiyatov and A. Baimyshev and H. A. Varol}, \nbooktitle={2017 IEEE International Conference on Advanced Intelligent Mechatronics (AIM)}, \ntitle={Successive linearization based model predictive control of variable stiffness actuated robots}, \nyear={2017}, \nvolume={}, \nnumber={}, \npages={1774-1779}, \nkeywords={actuators;control system synthesis;discrete time systems;energy conservation;linearisation techniques;mean square error methods;nonlinear control systems;predictive control;quadratic programming;robot dynamics;trajectory control;NMPC;SLMPC;VSA robots;control horizon;design paradigm;discrete-time linear model;energy efficient robots;linear representation;nonlinear model predictive control;quadratic problem;robot control;robot dynamics;root-mean-square errors;safety features;successive linearization based model predictive control;trajectory tracking experiment;variable stiffness actuated robots;Computational modeling;Cost function;Mathematical model;Nonlinear systems;Predictive control;Robots;Vehicle dynamics}, \ndoi={10.1109/AIM.2017.8014275}, \nISSN={}, \nmonth={July},}\n\n\n
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