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Robotics and Artificial Intelligence
Artificial intelligence and robotics are very recent technologies and risks for our world. They are developing their capacity dramatically and shifting their origins of developing intention to other dimensions. When humans see the past histories of AI and robotics, human beings can examine and understand the objectives and intentions of them which to ...
Malik Ghallab, Félix Ingrand
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Designing Futuristic Telemedicine Using Artificial Intelligence and Robotics in the COVID-19 Era [PDF]
Sonu Bhaskar +2 more
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Artificial Intelligence and Robotics [PDF]
The recent successes of AI have captured the wildest imagination of both the scientific communities and the general public. Robotics and AI amplify human potentials, increase productivity and are moving from simple reasoning towards human-like cognitive abilities.
Javier Andreu-Perez +3 more
openaire +3 more sources
Recent achievements in the field of computer vision, reinforcement learning, and locomotion control have largely extended legged robots’ maneuverability in complex natural environments.
Yingtian Xu +6 more
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A taste sensor with global selectivity can be used to discriminate taste of foods and provide evaluations. Interfaces that could interact with broad food ingredients are beneficial for data collection. Here, we prepared electrochemically reduced graphene
Hongwu Zhu +4 more
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Flaw Size Quantification for Cable Flaw Inspection System with Inductive Search Coil Sensor
Bridge cables are commonly used in bridge construction, and assessing their condition is crucial for ensuring bridge safety. However, current inspection methods often rely on large and heavy detection mechanical structures, which can be inconvenient ...
Zehao Fang +3 more
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Quantitative Detection Technology for Geometric Deformation of Pipelines Based on LiDAR
This paper introduces a novel method for enhancing underground pipeline inspection, specifically addressing limitations associated with traditional closed-circuit television (CCTV) systems.
Min Zhao +5 more
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Improving the quality of work for human beings is receiving a lot of attention from multiple research communities. In particular, digital transformation in human factors and ergonomics is going to empower the next generation of the socio-technical ...
Yeshasvi Tirupachuri +6 more
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Novel trajectory clustering method based on distance dependent Chinese restaurant process [PDF]
Trajectory clustering and path modelling are two core tasks in intelligent transport systems with a wide range of applications, from modeling drivers’ behavior to traffic monitoring of road intersections. Traditional trajectory analysis considers them as
Reza Arfa +2 more
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Data augmentation methods for semantic segmentation-based mobile robot perception system [PDF]
Data augmentation has become a standard technique for increasing deep learning models’ accuracy and robustness. Different pixel intensity modifications, image transformations, and noise additions represent the most utilized data augmentation ...
Jokić Aleksandar +3 more
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