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What are the different grippers for robotic manipulation?

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Various types of robotic grippers exist for manipulation tasks. Grippers range from small, highly controllable ones like those on the Da Vinci surgical robot , to larger, more dexterous grippers such as the Shadow Dexterous Hand . Additionally, there are grippers like the iRobot-Harvard-Yale (iHY) Hand and Istituto Italiano di Tecnoglia-Pisa (IIT-Pisa) Softhand that mimic natural motions during grasping based on biomechanical systems . Ultracompact and soft pairwise grippers have also been developed for high-precision manipulation of microscale objects, utilizing nanowire-morphing and Lorentz forces . These grippers can perform various maneuvers like grasping, flapping, twisting, and even high-frequency vibrations for releasing payloads, showcasing advanced nanorobotic functionalities .

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Open access•Journal Article•DOI Ultracompact single-nanowire-morphed grippers driven by vectorial Lorentz forces for dexterous robotic manipulations Jiang Yan, Yong Zhang, Zongguang Liu, Junzhuan Wang, Linwei Yu - Show less +4 more 24 Jun 2023-Nature Communications	Ultracompact single-nanowire-morphed grippers, driven by vectorial Lorentz forces, enable swift multi-dimensional maneuvers for robotic manipulation, assembly, and microscale object treatment.
Open access•Posted Content•DOI An Overview of Robotic Grippers 27 Apr 2023	Robotic grippers vary from small, precise surgical tools like Da Vinci to larger, human-like hands such as Shadow Dexterous Hand, and bio-inspired grippers like iHY Hand and IIT-Pisa Softhand.
Journal Article•DOI An overview of robotic grippers Christopher J. Ford, Efi Psomopoulou, Nathan F. Lepora - Show less +2 more 27 Apr 2023-IEEE Potentials	Robotic grippers vary from small, precise ones like Da Vinci's surgical tool effectors to larger, human-like ones such as the Shadow Dexterous Hand, and biomechanically inspired designs like iHY Hand.
Open access•Journal Article•DOI An overview of robotic grippers 01 May 2023-IEEE Potentials	Robotic grippers vary from small, precise ones like Da Vinci's surgical tool effectors to larger, human-like ones such as the Shadow Dexterous Hand, and biomechanically inspired designs like iHY Hand.
Open access•Journal Article•DOI A Review on Technologies in Robotic Gripper 30 May 2023-International journal of advanced engineering and nano technology	Different technologies of robotic grippers include end-effectors for various tasks in industries like agriculture, food processing, and packaging, aiming to enhance robot productivity and performance.

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Related Questions

What types of conventional grippers are there?5 answersConventional grippers encompass various types tailored for specific applications. These include two-finger grippers with a single degree of freedom for basic open-and-close functions, skewer-type grippers designed for torque-proof holding of test samples in punching devices, and grippers with self-centering capabilities ideal for handling cylindrical workpieces with rotational or translational movements. Additionally, there are gripper-type picking apparatuses featuring sliding sleeves, blocks, and multiple grippers for fruit picking applications. Furthermore, grippers with advanced designs incorporating linkage mechanisms, tendon drives, and folding mechanisms have been developed to enable twisting, rolling, and maneuvering through narrow passages, enhancing their versatility and applicability in various industries.

What are the gripper technologies in robotics?5 answersRobotic gripper technologies vary in design and function. Grippers can be small, accurate, and highly controllable, such as the surgical tool effectors of the Da Vinci robot, or larger and more controllable like the Shadow Dexterous Hand. Some grippers leverage natural motions inspired by observed biomechanical systems, such as the iRobot-Harvard-Yale (iHY) Hand or iRobot-Harvard-Yale (IIT)-Pisa SoftHand. Soft grippers have also gained interest due to their flexibility and ability to manipulate objects without damage. These grippers can be pneumatic or electromechanical, with examples including the gripper with chambered fingers, jamming gripper, tendon driver gripper, and gripper with passive structure. The selection of a gripper is crucial for a robot's productivity and performance. As robotic systems become more autonomous and widely used, the design, form, and function of robotic grippers are increasingly important to consider.

What are the trends that can be observed in robotic grippers designs over the past 50 years?5 answersThe trends observed in robotic gripper designs over the past 50 years include the development of grippers with specific functions, varying in size, accuracy, and controllability. Grippers like the surgical tool effectors of the Da Vinci robot and the Shadow Dexterous Hand are designed to be small, accurate, and highly controllable. On the other hand, grippers such as the iRobot-Harvard-Yale (iHY) Hand or Istituto Italiano di Tecnoglia-Pisa (IIT-Pisa) Softhand leverage natural motions during grasping via designs inspired by observed biomechanical systems. Additionally, there is a focus on incorporating tactile feedback into robotic grippers, using electroactive polymer (EAP) based materials and actuators that can sense pressure and provide gentle yet firm grasping. Another trend is the use of polydisperse granular materials in jamming grippers, which can perform better in real-world grasping experiments.

How is robotic grasping used in assembly?4 answersRobotic grasping is used in assembly to increase efficiency and autonomy in manipulation tasks. It involves the automatic planning and performance of grasping objects that are components of assembled structures. The goal is to ensure that the grasping operation meets specified requirements both as an isolated operation and as part of the assembly process. To achieve this, mathematical relations are used to analyze and optimize the grasping process. Additionally, the use of artificial intelligence-driven vision systems and deep neural networks can enhance robotic grasping by enabling object perception and reducing the need for large pre-labeled training datasets. These systems can be applied in various industrial automatic manufacturing or assembly processes, allowing robots to recognize and manipulate scattered parts with high success rates.

How to describe Generative Design of Robotic Gripper for Additive Manufacturing Implementation?4 answersGenerative design of robotic grippers for additive manufacturing implementation involves using rapid-manufacturing and design optimization techniques to create grippers that can stably grasp a variety of objects. The design process takes into account the object's positioning with respect to the robotic arm and generates a 3D printable gripper that can adapt to different shapes. The gripper design is flexible and can handle parts with different sizes and shapes, making it suitable for today's industry. The manufacturing of the gripper can be done using additive manufacturing techniques, such as 3D printing, with different materials and printing parameters analyzed for optimal results. The use of inexpensive and readily available filaments, such as PLA and TPU, allows for the fabrication of the gripper components on a hobby-grade 3D printer, making it a cost-effective solution. The resulting gripper design is modular, easy to assemble, and maintain, with high mechanical adaptability and durability.

What is the state of the art for robotic manipulators?5 answersRobotic manipulators are widely used in various fields and play a crucial role in tasks such as assembly, maintenance, and servicing of complex infrastructures. They are also utilized in hazardous environments where human presence is undesirable. To handle the complexities and uncertainties associated with robotic manipulators, effective modeling and robust control strategies are required. Researchers have explored the use of fractional-order modeling and control techniques for this purpose, although it remains a challenge. A comprehensive review of state-of-the-art fractional-order modeling and control strategies for robotic manipulators has been conducted, providing insights into key areas such as modeling, control techniques, and validation methods. Additionally, the use of manipulators in robotic applications continues to evolve, with a focus on improving efficiency and functionality. Future research aims to develop a robotic architecture using a mobile base for navigation and a manipulator for controlled movement in indoor environments.

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