@article{MTMT:32023976, title = {ADD-RRV for motion planning in complex environments}, url = {https://m2.mtmt.hu/api/publication/32023976}, author = {Cai, Peng and Yue, Xiaokui and Zhang, Hongwen}, doi = {10.1017/S0263574721000436}, journal-iso = {ROBOTICA}, journal = {ROBOTICA}, volume = {1}, unique-id = {32023976}, issn = {0263-5747}, year = {2021}, eissn = {1469-8668}, pages = {1-18}, orcid-numbers = {Cai, Peng/0000-0003-0814-1687} } @article{MTMT:33623084, title = {Humanoid Robot Path Planning Using Rapidly Explored Random Tree and Motion Primitives}, url = {https://m2.mtmt.hu/api/publication/33623084}, author = {Szumowski, Maksymilian and Zielińska, Teresa}, doi = {10.14313/JAMRIS/1-2021/3}, journal-iso = {J AUTOMAT MOBIL ROBOT INTELL SYST}, journal = {JOURNAL OF AUTOMATION MOBILE ROBOTICS AND INTELLIGENT SYSTEMS}, volume = {15}, unique-id = {33623084}, issn = {1897-8649}, abstract = {Path planning is an essential part of the control system of any mobile robot. In this article the path planner for a humanoid robot is presented. The short description of an universal control framework and the Motion Generation System is also presented. Described path planner utilizes a limited number of motions called the Motion Primitives. They are generated by Motion Generation System. Four different algorithms, namely the: Informed RRT, Informed RRT with random bias, and RRT with A* likeheuristics were tested. For the last one the version with biased random function was also considered. All mentioned algorithms were evaluated considering three dif ferent scenarios. Obtained results are described and discussed.}, year = {2021}, eissn = {2080-2145}, pages = {24-30}, orcid-numbers = {Szumowski, Maksymilian/0000-0002-9003-3724} } @article{MTMT:31607785, title = {Searching Multiple Approximate Solutions in Configuration Space to Guide Sampling-Based Motion Planning}, url = {https://m2.mtmt.hu/api/publication/31607785}, author = {Vonásek, Vojtěch and Pěnička, Robert and Kozlíková, Barbora}, doi = {10.1007/s10846-020-01247-4}, journal-iso = {J INTELL ROBOT SYST}, journal = {JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS}, unique-id = {31607785}, issn = {0921-0296}, year = {2020}, eissn = {1573-0409}, pages = {1-17} } @article{MTMT:30787417, title = {Sampling-based online motion planning for mobile robots: utilization of Tabu search and adaptive neuro-fuzzy inference system}, url = {https://m2.mtmt.hu/api/publication/30787417}, author = {Khaksar, W. and Hong, T.S. and Sahari, K.S.M. and Khaksar, M. and Torresen, J.}, doi = {10.1007/s00521-017-3069-6}, journal-iso = {NEURAL COMPUT APPL}, journal = {NEURAL COMPUTING & APPLICATIONS}, volume = {31}, unique-id = {30787417}, issn = {0941-0643}, year = {2019}, eissn = {1433-3058}, pages = {1275-1289} } @article{MTMT:30793125, title = {A fast and novel method for determining working volume in the reverberation chamber: Position of Tx antenna affect}, url = {https://m2.mtmt.hu/api/publication/30793125}, author = {Urul, Bülent and Tütüncü, Bilal and Helhel, Selcuk}, doi = {10.1002/mop.31997}, journal-iso = {MICROW OPT TECHN LET}, journal = {MICROWAVE AND OPTICAL TECHNOLOGY LETTERS}, volume = {0}, unique-id = {30793125}, issn = {0895-2477}, abstract = {Abstract Reverberation chambers (RCs) are cheaper alternatives to anechoic chambers (ACs), and they are mainly made up of metal (ideally perfect and smooth) covered rooms. Their designs are not sophisticated as in AC, and EMC tests at precompliance level can be applied within a certain interval of error. For applying EMC tests to any equipment under test (EUT), the electric field uniformity in the room must be satisfied within a certain error. The volume having a uniform electric field is called as working volume (WV) where EUT for being subjected to EMC tests will be placed in. Positions and dimensions of scatterer such as Tx antenna that must be in the room determine the dimension of WV. Classically, position of transmitting antenna is changed continuously and randomly till obtaining WV and this process ends at any time within 3?days. Industry is always hurried and wants to know when to start testing. In this study, a fast and novel method with data mining has been proposed for overcoming this problem, and it achieves a success rate of 96% in 4-5 hours. The model was tested for 10 different angles of rotation of the stirrer and 97% accuracy was achieved.}, keywords = {data mining; EMC; reverberation chamber; strirrer}, year = {2019}, eissn = {1098-2760} } @book{MTMT:30787605, title = {Computation of Approximate Solutions for Guided Sampling-Based Motion Planning of 3D Objects}, url = {https://m2.mtmt.hu/api/publication/30787605}, isbn = {2575-5579}, author = {Vonásek, V. and Pěnička, R.}, doi = {10.1109/RoMoCo.2019.8787344}, unique-id = {30787605}, abstract = {Motion planning of 3D solid objects leads to a search in a 6D configuration space. Sampling-based planners randomly sample the configuration space and store the collision-free samples into a graph (roadmap) that can be searched by standard graph-search methods. The well-known issue of the sampling-based planners is the narrow passage problem. Narrow passages are small collision-free regions in the configuration space that are, due to their low volume, difficult to cover by the random samples, which prevents the sampling-based planners to find a path leading through the passages. By decreasing the size of the object, the relative volume of the narrow passages is increased, which helps to cover them more densely. This allows the planner to find an approximate solution, i.e., a solution feasible for the smaller object. The approximate solution can be then used to iteratively guide the sampling in the configuration space, while increasing the size of the object, until a solution for the original object is found. In this paper, we propose a modification of the iterative guiding process. To avoid a situation where the part of the guiding path is too close to obstacles of the configuration space, we shift it away from the obstacles. This requires to estimate the surface of the obstacle region, which is achieved by detecting its boundary configurations during the sampling process. Experiments have shown that the proposed modification outperforms the simple guiding using approximate solutions, as well as other related state-of-the-art planners.}, keywords = {Planning; SOLIDS; surface treatment; MOBILE ROBOTS; Graph theory; sampling methods; approximate solution; Collision avoidance; Collision avoidance; Search Problems; path planning; Three-dimensional displays; Legged locomotion; collision-free samples; narrow passage problem; guided sampling-based motion planning; 3D solid objects; graph-search methods; 6D configuration space; iterative guiding process}, year = {2019}, pages = {231-238} } @article{MTMT:30787416, title = {Sampling-Based Motion Planning for Tracking Evolution of Dynamic Tunnels in Molecular Dynamics Simulations}, url = {https://m2.mtmt.hu/api/publication/30787416}, author = {Vonásek, V. and Jurčík, A. and Furmanová, K. and Kozlíková, B.}, doi = {10.1007/s10846-018-0877-6}, journal-iso = {J INTELL ROBOT SYST}, journal = {JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS}, volume = {93}, unique-id = {30787416}, issn = {0921-0296}, year = {2019}, eissn = {1573-0409}, pages = {763-785} } @inproceedings{MTMT:31856758, title = {Path planning of 3D solid objects using approximate solutions}, url = {https://m2.mtmt.hu/api/publication/31856758}, author = {Vonasek, Vojtech and Penicka, Robert}, booktitle = {2019 24TH IEEE INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION (ETFA)}, doi = {10.1109/ETFA.2019.8869344}, unique-id = {31856758}, year = {2019}, pages = {593-600} } @inproceedings{MTMT:30787418, title = {Motion planning of 3D objects using Rapidly Exploring Random Tree guided by approximate solutions}, url = {https://m2.mtmt.hu/api/publication/30787418}, author = {Vonasek, V.}, booktitle = {IEEE International Conference on Emerging Technologies and Factory Automation, ETFA}, doi = {10.1109/ETFA.2018.8502446}, volume = {2018-September}, unique-id = {30787418}, year = {2018}, pages = {713-720} } @inproceedings{MTMT:27210775, title = {A lattice-based approach to multi-robot motion planning for non-holonomic vehicles}, url = {https://m2.mtmt.hu/api/publication/27210775}, author = {Cirillo, M and Uras, T and Koenig, S}, booktitle = {Proceedings of 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2014)}, doi = {10.1109/IROS.2014.6942566}, publisher = {IEEE}, unique-id = {27210775}, year = {2014}, pages = {232-239} } @article{MTMT:23886381, title = {Motion planning for robot with nonholonomic constraints}, url = {https://m2.mtmt.hu/api/publication/23886381}, author = {Xu, N and Chen, X and Kong, Q and Han, J}, doi = {10.3724/SP.J.1218.2011.00666}, journal-iso = {ROBOT}, journal = {JIQIREN / ROBOT}, volume = {33}, unique-id = {23886381}, issn = {1002-0446}, year = {2011}, pages = {666-672} } @inproceedings{MTMT:27210776, title = {Path planning for nonholonomic robots}, url = {https://m2.mtmt.hu/api/publication/27210776}, author = {Dvoøák, J and Krèek, P}, booktitle = {15th International Conference on Soft Computing (MENDEL 2009)}, publisher = {Vysoké učení technické v Brně}, unique-id = {27210776}, year = {2009}, pages = {336-343} }