Search Results - computing methodologies artificial intelligence control methods (robotika OR robotics) planning*

Collision Prediction for Robotics Accelerators by Shah, Deval, Aamodt, Tor M.

“…Motion planning in dynamic environments is an important task for autonomous robotics…”
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Relaxed Dijkstra and A with linear complexity for robot path planning problems in large-scale grid environments by Ammar, Adel, Bennaceur, Hachemi, Châari, Imen, Koubâa, Anis, Alajlan, Maram

“…Although there exist efficient methods to determine an optimal path in a graph, such as Dijkstra…”
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Solving the multi-objective path planning problem in mobile robotics with a firefly-based approach by Hidalgo-Paniagua, Alejandro, Vega-Rodríguez, Miguel A., Ferruz, Joaquín, Pavón, Nieves

“…Currently, autonomous robotics is one of the most interesting and researched areas of technology…”
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FedLight: Federated Reinforcement Learning for Autonomous Multi-Intersection Traffic Signal Control by Ye, Yutong, Zhao, Wupan, Wei, Tongquan, Hu, Shiyan, Chen, Mingsong

“…Although Reinforcement Learning (RL) has been successfully applied in traffic control, it suffers from the problems of high average vehicle travel time and slow convergence to optimized solutions…”
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PartwiseMPC: Interactive Control of Contact‐Guided Motions by Khoshsiyar, N., Gou, R., Zhou, T., Andrews, S., van de Panne, M.

“… First, we introduce a novel partwise model predictive control (MPC) method that exploits independent planning for body parts when this proves beneficial, while defaulting to whole…”
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An improved ant colony algorithm for robot path planning by Liu, Jianhua, Yang, Jianguo, Liu, Huaping, Tian, Xingjun, Gao, Meng

“…To solve the problems of convergence speed in the ant colony algorithm, an improved ant colony optimization algorithm is proposed for path planning of mobile robots in the environment…”
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Trajectory planning for UAV navigation in dynamic environments with matrix alignment Dijkstra by Wang, Jinyang, Li, Yuhua, Li, Ruixuan, Chen, Hao, Chu, Kejing

“…The trajectory planning for Unmanned aerial vehicles (UAVs) in the dynamic environments is a challenging task…”
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MROS: A framework for robot self-adaptation by Silva, Gustavo Rezende, Garcia, Nadia Hammoudeh, Bozhinoski, Darko, Deshpande, Harshavardhan, Oviedo, Mario Garzon, Wasowski, Andrzej, Montero, Mariano Ramirez, Corbato, Carlos Hernandez

“… This work describes the Metacontrol method for self-adaptation in robotics. Particularly, it details how the MROS…”
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Four-Dimensional Path Planning Methodology for Collaborative Robots Application in Industry 5.0 by Chouridis, Ilias, Mansour, Gabriel, Papageorgiou, Vasileios, Mansour, Michel Theodor, Tsagaris, Apostolos

“… Its central pillar is the collaboration between robots and humans. Path planning is a major challenge in robotics…”
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An energy-saving path planning method using adaptive ant colony system for marine surface vehicles by Dong, Liangxiong, Gan, Xinhua

“…Given the need for ship emission reduction and the energy constraints of unmanned surface vehicles, it is imperative to develop an efficient ship path planning method that incorporates energy-saving considerations…”
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Multi-objective optimal path planning using elitist non-dominated sorting genetic algorithms by Ahmed, Faez, Deb, Kalyanmoy

“…A multi-objective vehicle path planning method has been proposed to optimize path length, path safety, and path smoothness using the elitist non-dominated sorting genetic algorithm…”
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Regional feature fusion for on-road detection of objects using camera and 3D-LiDAR in high-speed autonomous vehicles by Wu, Qingyu, Li, Xiaoxiao, Wang, Kang, Bilal, Hazrat

“… Therefore in this study, a novel object detection method is presented that fuses the complementary information of 2D and 3D object detection to accurately detect objects in autonomous vehicles…”
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Linking granular computing, big data and decision making: a case study in urban path planning by Li, Xiang, Zhou, Jiandong, Pedrycz, Witold

“…Granular computing, an emerging information processing paradigm transforming complex data into information granules at different scales so that different features and regularities can be revealed…”
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Equilibrium optimizer with generalized opposition-based learning for multiple unmanned aerial vehicle path planning by Chen, Yang, Pi, Dechang, Wang, Bi, Mohamed, Ali Wagdy, Chen, Junfu, Wang, Yintong

“…Multiple unmanned aerial vehicle (UAV) path planning is the benchmark problem of multiple UAV application, which belongs to the non-deterministic polynomial problem…”
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Mobile robot path planning using multi-objective genetic algorithm in industrial automation by Suresh, K. S., Venkatesan, R., Venugopal, S.

“…Mobile robot path planning problem is a significant research area in industrial automation, which is to determine an optimal path for a robot to reach the destination by avoiding obstacles. Path planning (PP…”
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Analyzing and Improving Fault Tolerance of Learning-Based Navigation Systems by Wan, Zishen, Anwar, Aqeel, Hsiao, Yu-Shun, Jia, Tianyu, Reddi, Vijay Janapa, Raychowdhury, Arijit

“…Learning-based navigation systems are widely used in autonomous applications, such as robotics, unmanned vehicles and drones…”
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Smart city urban planning using an evolutionary deep learning model by Alghamdi, Mansoor

“… Predicting urban evolution and planning is another recent concern for smart cities. In this context, this paper introduces a hybrid model that incorporates evolutionary optimization algorithms, such as Teaching…”
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Dynamic Adaptive Ant Lion Optimizer applied to route planning for unmanned aerial vehicle by Yao, Peng, Wang, Honglun

“…This paper proposes a novel Dynamic Adaptive Ant Lion Optimizer (DAALO) for route planning of unmanned aerial vehicle…”
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An integrated automated guided vehicle design problem and preventive maintenance planning by Dehnavi-Arani, Saeed, Hasani, Aliakbar

“… for them. To the best of our knowledge, there are rarely found studies related to maintenance planning and AGVs’ design and control…”
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Robust optimization and mixed-integer linear programming model for LNG supply chain planning problem by Sangaiah, Arun Kumar, Tirkolaee, Erfan Babaee, Goli, Alireza, Dehnavi-Arani, Saeed

“… Supply and transportation planning of liquefied natural gas (LNG) need a great attention from the management of the supply chain to provide a significant development of gas trading…”
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