Výsledky vyhľadávania - computing methodologies artificial intelligence control methods (robotik OR robotics) planning~

Multi-agent Path Planning Based on Conflict-Based Search (CBS) Variations for Heterogeneous Robots Autor Bai, Yifan, Kotpalliwar, Shruti, Kanellakis, Christoforos, Nikolakopoulos, George

“…This article introduces a novel Multi-agent path planning scheme based on Conflict Based Search (CBS…”
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Hybrid rule-based motion planner for mobile robot in cluttered workspace: A combination of RRT and cell decomposition approaches Autor Abbadi, Ahmad, Matousek, Radomil

“…Motion planning problem is an active field in robotics. It is concerned with converting high-level task specifications into low-level descriptions of how to…”
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How Robot Verbal Feedback Can Improve Team Performance in Human-Robot Task Collaborations Autor St. Clair, Aaron, Mataric, Maja

“…We detail an approach to planning effective verbal feedback during pairwise human-robot task collaboration…”
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Collision Prediction for Robotics Accelerators Autor Shah, Deval, Aamodt, Tor M.

“…Motion planning in dynamic environments is an important task for autonomous robotics…”
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FedLight: Federated Reinforcement Learning for Autonomous Multi-Intersection Traffic Signal Control Autor 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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MROS: A framework for robot self-adaptation Autor 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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PartwiseMPC: Interactive Control of Contact‐Guided Motions Autor 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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Analyzing and Improving Fault Tolerance of Learning-Based Navigation Systems Autor 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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Cocktail: Learn a Better Neural Network Controller from Multiple Experts via Adaptive Mixing and Robust Distillation Autor Wang, Yixuan, Huang, Chao, Wang, Zhilu, Xu, Shichao, Wang, Zhaoran, Zhu, Qi

“… In this work, we propose COCKTAIL, a novel design framework that automatically learns a neural network based controller from multiple existing control methods (experts…”
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Solving the multi-objective path planning problem in mobile robotics with a firefly-based approach Autor 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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Regional feature fusion for on-road detection of objects using camera and 3D-LiDAR in high-speed autonomous vehicles Autor 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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Relaxed Dijkstra and A with linear complexity for robot path planning problems in large-scale grid environments Autor 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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EffBT: An Efficient Behavior Tree Reactive Synthesis and Execution Framework Autor Wu, Ziji, Huang, Yu, Huang, Peishan, Wen, Shanghua, Li, Minglong, Wang, Ji

“…Behavior Trees (BTs), originated from the control of Non-Player-Characters (NPCs), have been widely embraced in robotics and software engineering communities due to their modularity, reactivity, and other beneficial characteristics…”
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Social Momentum: A Framework for Legible Navigation in Dynamic Multi-Agent Environments Autor Mavrogiannis, Christoforos I., Thomason, Wil B., Knepper, Ross A.

“…Intent-expressive robot motion has been shown to result in increased efficiency and reduced planning efforts for copresent humans…”
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A Pythagorean cubic fuzzy methodology based on TOPSIS and TODIM methods and its application to software selection problem Autor Seker, Sukran, Kahraman, Cengiz

“… This paper develops a new hybrid multi-criteria decision-making (MCDM) method to select the most efficient vendor-supplied software package which is used in all business…”
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Four-Dimensional Path Planning Methodology for Collaborative Robots Application in Industry 5.0 Autor 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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GARL: Genetic Algorithm-Augmented Reinforcement Learning to Detect Violations in Marker-Based Autonomous Landing Systems Autor Liang, Linfeng, Deng, Yao, Morton, Kye, Kallinen, Valtteri, James, Alice, Seth, Avishkar, Kuantama, Endrowednes, Mukhopadhyay, Subhas, Han, Richard, Zheng, Xi

“… It involves detecting landing targets, perceiving obstacles, planning collision-free paths, and controlling UAV movements for safe landing…”
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Thinking and Moving: An Efficient Computing Approach for Integrated Task and Motion Planning in Cooperative Embodied AI Systems (Invited Paper) Autor Wan, Zishen, Du, Yuhang, Ibrahim, Mohamed, Zhao, Yang, Krishna, Tushar, Raychowdhury, Arijit

“… These systems integrate perception, cognition, and action through integrated task and motion planning (TAMP…”
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Linking granular computing, big data and decision making: a case study in urban path planning Autor 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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An improved ant colony algorithm for robot path planning Autor 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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