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Titlebook: Numerical Validation in Current Hardware Architectures; International Dagstu Annie Cuyt,Walter Kr?mer,Peter Markstein Conference proceeding

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樓主: CILIA
21#
發(fā)表于 2025-3-25 03:36:00 | 只看該作者
Ulrich W. Kulischellent single location accuracy in Ultrasound based Hand motion recognition. However this paper more visibly presents the strong impact of Sensor Shift on A-Mode ultrasound based hand motion Recognition, and finally presents which feature extraction methods are most robust to this shift.
22#
發(fā)表于 2025-3-25 08:01:27 | 只看該作者
Annie Cuyt,Franky Backeljauw,Stefan Becuwe,Michel Colman,Tom Docx,Joris Van Deunear actuator response and reduced wear of the actuators, when compared to previous approaches. The proposed manufacturing procedure introduces the application of the reinforcement before the fabrication of the actuator body, significantly reducing the required fabrication effort and providing more consistent and more reliable results.
23#
發(fā)表于 2025-3-25 14:37:58 | 只看該作者
Frithjof Blomquist,Werner Hofschuster,Walter Kr?merough exploration of the code under test, and interesting combinations of human-robot interactions. Our results show that CDV combined with systematic test generation achieves a very high degree of automation in simulation-based verification of control code for robots in HRI.
24#
發(fā)表于 2025-3-25 16:01:07 | 只看該作者
25#
發(fā)表于 2025-3-25 23:41:27 | 只看該作者
Di Jiang,Neil F. Stewartcamera mounted on top of the robot towards a fixed target. This concept is derived from the vestibulo-ocular reflex (VOR) of the human eye. The experimental results show that the system is able to track the fixed target in various robot motion scenarios including the scenario when an intentional slip is generated during robot navigation.
26#
發(fā)表于 2025-3-26 01:22:38 | 只看該作者
27#
發(fā)表于 2025-3-26 07:49:14 | 只看該作者
28#
發(fā)表于 2025-3-26 11:13:10 | 只看該作者
29#
發(fā)表于 2025-3-26 15:22:36 | 只看該作者
30#
發(fā)表于 2025-3-26 20:06:08 | 只看該作者
Markus Grimmerree different picking, placing and moving tasks. We show that the main task is guided to safe behaviour by safety instance and even converges against safe behaviour with additional learning phase of the main task.
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