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Robotics & Artificial Intelligence for Explosive Ordnance Disposal
, 2022 Recent armed conflicts (Ukraine, Afghanistan, Iraq, Syria) have seen a dramatic rise in the use of EOs (Explosive Ordnance), specifically IEDs (Improvised Explosive Devices) and landmines by adversaries, often resulting in casualties from EU and NATO member states.
Enzo Ghisoni, Geert De Cubber
openalex +2 more sources
Sensors, 2021 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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Micromachines, 2023 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
Applied Sciences, 2023 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
Sensors, 2023 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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IEEE Access, 2021 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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Editorial: Artificial intelligence and social robotics for mental healthcare. [PDF]
Front Robot AICervantes JA +5 more
europepmc +3 more sources
Novel trajectory clustering method based on distance dependent Chinese restaurant process [PDF]
PeerJ Computer Science, 2019 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]
Serbian Journal of Electrical Engineering, 2022 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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Modular Design and Decentralized Control of the Recupera Exoskeleton for Stroke Rehabilitation
Applied Sciences, 2019 Robot-assisted therapy has become increasingly popular and useful in post-stroke neurorehabilitation. This paper presents an overview of the design and control of the dual-arm Recupera exoskeleton to provide intense therapist-guided as well as self ...
Shivesh Kumar +7 more
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