可耕种
发表于 2025-3-27 00:24:57
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Enteropathic
发表于 2025-3-27 01:42:34
Reproducible Pruning System on Dynamic Natural Plants for Field Agricultural Robots, the passivity of system. The faster R-CNN trained on 3D vine models, is used to detect the spurs and then the statistical pattern recognition algorithm using K-means clustering is applied to find the effective pruning points. The proposed framework is tested in simulated and real environments.
septicemia
发表于 2025-3-27 05:49:24
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慢慢流出
发表于 2025-3-27 10:17:27
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circuit
发表于 2025-3-27 15:55:49
Logarithmus und Exponentialfunktionnt impairment, such as the elderly. We discuss the two robotic prototypes being developed, their various novel functionalities, system architecture, modules and function scope, and present preliminary experimental results with actual users.
娴熟
发表于 2025-3-27 19:43:13
Erratum to: Spezielle Funktionen,ons. In this manuscript, we present a research approach that moves from the understanding of human movements and derives usefull guidelines for the planning of arm movements and the learning of skills for physical interaction of robots with the surrounding environment.
不怕任性
发表于 2025-3-28 01:36:58
The I-Walk Assistive Robot,nt impairment, such as the elderly. We discuss the two robotic prototypes being developed, their various novel functionalities, system architecture, modules and function scope, and present preliminary experimental results with actual users.
DENT
发表于 2025-3-28 05:34:31
,Modeling Human Motor Skills to Enhance Robots’ Physical Interaction,ons. In this manuscript, we present a research approach that moves from the understanding of human movements and derives usefull guidelines for the planning of arm movements and the learning of skills for physical interaction of robots with the surrounding environment.
Trochlea
发表于 2025-3-28 09:03:21
978-3-030-71358-4The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
defuse
发表于 2025-3-28 13:56:53
Human-Friendly Robotics 2020978-3-030-71356-0Series ISSN 2511-1256 Series E-ISSN 2511-1264