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Frontiers in Neurorobotics, 2021 We propose a methodology based on reservoir computing for mapping local proprioceptive information acquired at the level of the leg joints of a simulated quadruped robot into exteroceptive and global information, including both the ground reaction forces
Mario Calandra +5 more
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ViT-based Terrain Recognition System for wearable soft exosuit
Biomimetic Intelligence and Robotics, 2023 Terrain classification and force assistance strategies in complex environments have always piqued the interest of many researchers. For wearable soft exosuits, inaccurate terrain recognition can easily introduce undesired assist forces that can easily ...
Fangliang Yang +6 more
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Off-road terrain classification [PDF]
, 2022 Dissertation (MEng (Mechanical Engineering))--University of Pretoria, 2022.Road traffic accidents place a burden on the global economy. This impact is reduced by the development of safer vehicles.
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Haptic terrain classification for legged robots [PDF]
2010 IEEE International Conference on Robotics and Automation, 2010 In this paper, we are presenting a method to estimate terrain properties (such as small-scale geometry or surface friction) to improve the assessment of stability and the guiding of foot placement of legged robots in rough terrain. Haptic feedback, expressed through joint motor currents and ground contact force measurements that arises when prescribing
Mark A. Höpflinger +4 more
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Sensors, 2018 In view of terrain classification of the autonomous multi-legged walking robots, two synthetic classification methods for terrain classification, Simple Linear Iterative Clustering based Support Vector Machine (SLIC-SVM) and Simple Linear Iterative ...
Yaguang Zhu +4 more
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Improving the mobility performance of autonomous unmanned ground vehicles by adding the ability to ‘sense/feel‘ their local environment [PDF]
, 2007 This paper explores how a ‘learning‘ algorithm can be added to UGV’s by giving it the ability to test the terrain through ‘feeling‘ using incorporated sensors, which would in turn increase its situational awareness.
Prior, Stephen D. +8 more
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Remote Sensing, 2021 To achieve effective deep fusion features for improving the classification accuracy of hyperspectral remote sensing images (HRSIs), a pixel frequency spectrum feature is presented and introduced to convolutional neural networks (CNNs).
Jing Liu, Zhe Yang, Yi Liu, Caihong Mu
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Geomorphological slope units of the Himalayas
Journal of Maps, 2022 Slope units represent surface slopes by means of polygons delimited by drainage and divide lines obtained on a digital topography. Objective slope unit delineation for a given digital elevation model is still an open issue and, often, a limitation that ...
Massimiliano Alvioli +4 more
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Analysis and Classification of SAR Textures Using Information Theory
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 The use of Bandt–Pompe probability distributions and descriptors of information theory has been presenting satisfactory results with low computational cost in the time series analysis literature [1]–[3].
Eduarda T. C. Chagas +3 more
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Using acoustic sensor technologies to create a more terrain capable unmanned ground vehicle [PDF]
, 2009 Unmanned Ground Vehicle’s (UGV) have to cope with the most complex range of dynamic and variable obstacles and therefore need to be highly intelligent in order to cope with navigating in such a cluttered environment.
Mehmet Ali Erbil +14 more
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