This study presents the design of an underactuated, two-finger, motor-driven compliant gripper for grasping size-varied unknown objects. The gripper module consists of one main frame structure and two identical compliant fingers. The compliant finger is a monolithic compliant mechanism synthesized using a topology optimization method, and then prototyped by 3D printing using flexible filament. The input port for each finger is mounted on a moving platform driven by a gear motor, whereas the fixed port of the finger is mounted on a fixed platform. Each compliant finger can be actuated through the linear motion of the moving platform, and can deform elastically to generate the grasping motion. To demonstrate the effectiveness of the proposed design, the gripper module is mounted on a six-axis robotic arm to pick and place a variety of objects. The results show that objects with the sizes between 42 and 141 mm can be grasped by the developed soft robotic gripper. The maximum payload for the gripper is 2.1 kg. The proposed compliant gripper is a low-cost design that can be used in grasping of size-varied vulnerable objects.
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http://dx.doi.org/10.1089/soro.2017.0121 | DOI Listing |
Int J Med Robot
February 2025
Shenyang Jianzhu University, Shenyang, China.
Background: A surgical robot with force feedback can guarantee precise and gentle manipulation for endometrial repair, ensuring the effectiveness and safety of the manipulation. However, the design of force sensors for surgical robots is challenging due to the limited anatomical space and the requirement for continuous rotation.
Methods: This paper presents a novel force-sensing surgical instrument for endometrial repair, including an inner scraping instrument and an outer force sensing sheath.
Front Robot AI
January 2025
School of Metallurgy and Materials, University of Birmingham, Birmingham, United Kingdom.
Introduction: The transition to electric vehicles (EVs) has highlighted the need for efficient diagnostic methods to assess the state of health (SoH) of lithium-ion batteries (LIBs) at the end of their life cycle. Electrochemical Impedance Spectroscopy (EIS) offers a non-invasive technique for determining battery degradation. However, automating this process in industrial settings remains a challenge.
View Article and Find Full Text PDFMed Image Comput Comput Assist Interv
January 2025
Surgical & Interventional Engineering, King's College London, UK.
Embodied AI (E-AI) in the form of intelligent surgical robotics and other agents is calling for data platforms to facilitate its development and deployment. In this work, we present a cross-platform multimodal data recording and streaming software, MUTUAL, successfully deployed on two clinical studies, along with its ROS 2 distributed adaptation, MUTUAL-ROS 2. We describe and compare the two implementations of MUTUAL through their recording performance under different settings.
View Article and Find Full Text PDFMethodsX
June 2025
Universidad de Virginia, Charlottesville, United States.
The research aims to evaluate the effect of a robotics-based computational thinking program on executive functions and visuospatial skills in preschool children. Additionally, the study will explore the relationship between these three variables and early experiences with toys. The study will be a cluster-randomized controlled trial with pre- and post-intervention measures.
View Article and Find Full Text PDFChem Soc Rev
January 2025
Faculty of Chemistry and Food Chemistry, TU Dresden, Bergstrasse 66, 01062 Dresden, Germany.
Nanoporous solids offer a wide range of functionalities for industrial, environmental, and energy applications. However, only a limited number of porous materials are responsive, the nanopore dynamically alters its size and shape in response to external stimuli such as temperature, pressure, light or the presence of specific molecular stimuli adsorbed inside the voids deforming the framework. Adsorption-induced structural deformation of porous solids can result in unique counterintuitive phenomena.
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