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Titlebook: Intelligent Robotics and Applications; 15th International C Honghai Liu,Zhouping Yin,Weihong Ren Conference proceedings 2022 The Editor(s)

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樓主: FLAW
21#
發(fā)表于 2025-3-25 05:18:54 | 只看該作者
ShanFeng Cheng,Yong Lie strukturierte (hierarchische) Beschreibung und auch L?sung der Modelle erm?glicht. Die in Abschnitt 2.5 vorgestellten, modifizierten numerischen L?sungsverfahren zur iterativen L?sung des Gesamtmodells ben?tigen nur einen Bruchteil des Speicherplatzes der bisher üblichen Verfahren, die auf der ges
22#
發(fā)表于 2025-3-25 10:28:52 | 只看該作者
23#
發(fā)表于 2025-3-25 15:15:31 | 只看該作者
24#
發(fā)表于 2025-3-25 19:12:48 | 只看該作者
Skeleton-Based Hand Gesture Recognition by Using Multi-input Fusion Lightweight Networkl features well due to the skeleton noise. In real applications, some large models also suffer from a huge number of parameters and low execution speed. This paper presents a lightweight skeleton-based hand gesture recognition network by using multi-input fusion to address those issues. We convey tw
25#
發(fā)表于 2025-3-25 20:34:41 | 只看該作者
26#
發(fā)表于 2025-3-26 03:52:14 | 只看該作者
27#
發(fā)表于 2025-3-26 07:55:32 | 只看該作者
Tracking and Counting Method for Tomato Fruits Scouting Robot in Greenhousetly necessary for the hot and harsh environment of greenhouses. With the continuous progress of computer vision technology, the use of deep learning algorithms for counting tomatoes can greatly improve the inspection speed of the inspection robot. This paper propose a tomato fruit counting method fo
28#
發(fā)表于 2025-3-26 10:15:49 | 只看該作者
Safety Assistance Strategy of Nursing Robot in Stand-To-Sit Movement and the seat. SST is a relaxed and natural movement for normal people with healthy lower limbs, and they will not perceive any difficulties. However, for those people with lower limb disabilities, they have certain handicaps in SST. When they perform SST, owing to their lower extremity muscles coul
29#
發(fā)表于 2025-3-26 14:18:51 | 只看該作者
Motion Planning Method for?Home Service Robot Based on?Bezier Curvehome environment, this paper proposes a robot motion planning system consisting of three parts: path planning, trajectory generation, and trajectory optimization. First, use the A* algorithm based on graph search to quickly plan a passable global path in a complex home environment as the initial val
30#
發(fā)表于 2025-3-26 19:18:00 | 只看該作者
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