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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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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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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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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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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Cocktail: Learn a Better Neural Network Controller from Multiple Experts via Adaptive Mixing and Robust Distillation by 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 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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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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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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EffBT: An Efficient Behavior Tree Reactive Synthesis and Execution Framework by 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 by 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 by 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 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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GARL: Genetic Algorithm-Augmented Reinforcement Learning to Detect Violations in Marker-Based Autonomous Landing Systems by 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) by 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 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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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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Tech-center location selection by interval-valued spherical fuzzy AHP based MULTIMOORA methodology by Otay, İrem

“…Intense market competition, changes in demand structure and acceleration in the technological developments have led companies to offer innovative and…”
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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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