Results 41 to 50 of about 26,694 (289)
Machine learning for automated avalanche terrain exposure scale (ATES) classification [PDF]
Natural Hazards and Earth System SciencesAvalanche risk management is essential for backcountry safety. The Avalanche Terrain Exposure Scale (ATES) classifies mountain terrain based on its potential exposure to avalanche hazards and supports mountain visitors in their terrain assessment ...
K. Markov +10 more
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Advanced Robotics Research, EarlyView.A codesign multiobjective optimization framework was developed to enhance the morphology and controller of a snake‐like robot driven by artificial muscles. It improved planar locomotion, agility, and power efficiency. The approach optimized link geometry and controller gains, revealing that shorter muscles near joints and longer linkages maximize ...
Ayla Valles, Mahdi Haghshenas‐Jaryani
wiley +1 more source
Sub-canopy terrain modelling for archaeological prospecting in forested areas through multiple-echo discrete-pulse laser ranging: a case study from Chopwell Wood, Tyne & Wear [PDF]
, 2011 Airborne Light Detection and Ranging (LiDAR) technology is assessed for its effectiveness as a tool for measuring terrain under forest canopy. To evaluate the capability of multiple-return discrete-pulse airborne laser ranging for detecting and resolving
LANDY, JACK
core
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023 Computer vision can provide upcoming walking environment information for lower limb-assisted robots, thereby enabling more accurate and robust decisions for high-level control. However, current computer vision systems in lower extremity devices are still
Linrong Li +3 more
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Terrain Classification and Negotiation with a Walking Robot [PDF]
Journal of Intelligent & Robotic Systems, 2014 This paper describes a walking robot controller for negotiation of terrains with different traction characteristics. The feedback is based on three perception systems. The purpose of the presented research is to enhance the autonomy of the walking robot. The information about the class of the terrain allows the robot to work in the real world scenarios
openaire +1 more source
Stable Imitation of Multigait and Bipedal Motions for Quadrupedal Robots Over Uneven Terrains
Advanced Robotics Research, EarlyView.How are quadrupedal robots empowered to execute complex navigation tasks, including multigait and bipedal motions? Challenges in stability and real‐world adaptation persist, especially with uneven terrains and disturbances. This article presents an imitation learning framework that enhances adaptability and robustness by incorporating long short‐term ...
Erdong Xiao +3 more
wiley +1 more source
Terrain Adaptive Estimation of Instantaneous Centres of Rotation for Tracked Robots
Complexity, 2018 As a type of skid-steering mobile robot, the tracked robot suffers from inevitable slippage, which results in an imprecise kinematics model and a degradation of performance during navigation.
Cuifeng Wang +3 more
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PolSAR Image Classification Based on Relation Network with SWANet
Remote Sensing, 2023 Deep learning and convolutional neural networks (CNN) have been widely applied in polarimetric synthetic aperture radar (PolSAR) image classification, and satisfactory results have been obtained.
Wenqiang Hua +3 more
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Modulus‐Switchable Miniature Robots for Biomedical Applications: A Review
Advanced Robotics Research, EarlyView.Materials, robot designs, proof‐of‐concept functions, and biomedical applications of modulus‐switchable miniature robots. Miniature soft robots have shown great potential in biomedical applications due to their excellent controllability and suitable mechanical properties in biological environments.
Chunyun Wei, Yibin Wang, Jiangfan Yu
wiley +1 more source
IEEE AccessMicro-terrain classification is an indispensable part of the regular grid digital elevation model and is important in urban landscape design. Given the shortcomings of the regular grid digital elevation model, a micro-terrain classification method ...
Dianmei Geng
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