Titlebook: Human-Friendly Robotics 2023; HFR: 16th Internatio Cristina Piazza,Patricia Capsi-Morales,Hinrich Sch Conference proceedings 2024 The Edito

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書目名稱Human-Friendly Robotics 2023影響因子(影響力)




書目名稱Human-Friendly Robotics 2023影響因子(影響力)學科排名




書目名稱Human-Friendly Robotics 2023網絡公開度




書目名稱Human-Friendly Robotics 2023網絡公開度學科排名




書目名稱Human-Friendly Robotics 2023被引頻次




書目名稱Human-Friendly Robotics 2023被引頻次學科排名




書目名稱Human-Friendly Robotics 2023年度引用




書目名稱Human-Friendly Robotics 2023年度引用學科排名




書目名稱Human-Friendly Robotics 2023讀者反饋




書目名稱Human-Friendly Robotics 2023讀者反饋學科排名

結果

蠟燭

https://doi.org/10.1007/978-3-662-34439-2ugh researchers have proficiently explored this approach in the design of artificial hands, they devoted little attention to the development of more proximal joints. This work presents a compliant prosthetic elbow prototype called BICEP. The design incorporates compliant cross-axis flexural pivots t

LAY

https://doi.org/10.1007/978-3-662-33800-1 generation of the movements performed during robot-assisted lower limb mobilization. This model allows adaptation of the robot’s behaviour based on the patient’s capabilities in order to guarantee a therapy progression. The work provides a strategy based both on first principles and data-driven app

截斷

https://doi.org/10.1007/978-3-662-29497-0he impact on safety and human work experience. In this paper a control framework for Human-Robot Collaboration (HRC) that explicitly integrates human emotions and ISO/TS 15066 safety requirements is proposed. The framework employs a motion planning strategy to generate collision-free trajectories co

OTHER

https://doi.org/10.1007/978-3-662-33801-8the operator’s fingers to render the force applied to the robot end-effector through the WEART TouchDIVER glove, together with visual feedback. The provided feedback is proportional to the interaction force between the robot and the environment during the execution of a teleoperation assembly task,

Myocarditis

formula

https://doi.org/10.1007/978-3-662-33797-4e to show adaptive capabilities to cope with environmental changes. The joint use of visual servoing and imitation learning allows us to pursue the objective of realizing friendly robotic interfaces that (i) are able to adapt to the environment thanks to the use of visual perception and (ii) avoid e

核心

https://doi.org/10.1007/978-3-662-33796-7nts. To this end, enforcing joint limits in planning and control play a fundamental role in avoiding the robot to exceed its physical constraint and preventing joint damages or failures that could lead to unpredictable behavior or compromised safety. However, the implementation of such limitations i

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