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Published in 2020 at "Automation in Construction"
DOI: 10.1016/j.autcon.2020.103172
Abstract: Abstract Reinforced concrete (RC) beam-column joints are the critical components of RC building frames. Congestion and even collision of reinforcing bars (rebars) encounter frequently in the core region of a joint. The building information modeling… read more here.
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Published in 2020 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2020.12.1851
Abstract: Abstract A novel cell equilibrium algorithm which is used for battery state of charge equilibrium of battery pack is proposed in this paper. Cell equilibrium algorithm is a key technology for lithium-ion battery pack in… read more here.
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Published in 2024 at "Electronics Letters"
DOI: 10.1049/ell2.70038
Abstract: One of the most important challenges in an autonomous and robotics system is the path planning in which the system finds the optimal path from start point to goal point. The traditional path planning algorithms… read more here.
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Published in 2024 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/ad56b7
Abstract: There are many redundant nodes and inflection points in the path planned by the traditional A* algorithm, leading to the inefficient trajectory planning of the automatic guided vehicle (AGV) in the multi-static obstacles environment. The… read more here.
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3011211
Abstract: The artificial potential field approach is an efficient path planning method. However, to deal with the local-stable-point problem in complex environments, it needs to modify the potential field and increases the complexity of the algorithm.… read more here.
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3043539
Abstract: The article presents a novel, efficient graph search algorithm for path planning. The algorithm was inspired by the potential field method and therefore it is called the Discrete Artificial Potential Field (DAPF) algorithm. Additional trajectory… read more here.
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3212741
Abstract: In order to solve the “minimum trap” of Artificial Potential Field and the limitation of traditional path planning algorithm in dynamic obstacle environment, a path planning algorithm based on improved artificial potential field is proposed.… read more here.
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Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3418573
Abstract: For the development of autonomous robotic systems, Dynamic Movement Primitives (DMP) and Artificial Potential Fields (APF) are two well known techniques. DMPs are a reference algorithm in robotics for one shot learning as they enable… read more here.
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Published in 2024 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2024.3410271
Abstract: Trajectory planning technology is one of the key technologies in the field of autonomous driving. However, the current planning algorithms cannot meet the optimal trajectory requirements to a certain extent. A novel algorithm is proposed… read more here.
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Published in 2017 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2017.2677330
Abstract: Combining with artificial potential field and robust $H_\infty$ methods, the neural network (NN)-based adaptive synchronized tracking control is proposed for accommodation vessel (AV). The control task is to drive AV synchronous tracking floating production storage… read more here.
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Published in 2020 at "International Journal of Advanced Robotic Systems"
DOI: 10.1177/1729881420911763
Abstract: While the artificial potential field has been widely employed to design path planning algorithms, it is well-known that artificial potential field-based algorithms suffer a severe problem that a robot may sink into a local minimum… read more here.