Robotic grasping and contact: a review
WebAug 4, 2024 · Recently, stable robotic grasping based on tactile information has been one of the most popular problems researchers have been working on in the field of robotics [9,10,11], which can not only improve the success rate of grasping tasks, but also effectively serve to subsequent manipulation tasks. WebFeb 9, 2024 · In the dynamic and unstructured environment where horticultural crops grow, obstacles and interference frequently occur but are rarely addressed, which poses significant challenges for robotic harvesting. This work proposed a tactile-enabled robotic grasping method that combines deep learning, tactile sensing, and soft robots. By …
Robotic grasping and contact: a review
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WebMar 16, 2015 · We consider the problem of detecting robotic grasps in an RGB-D view of a scene containing objects. In this work, we apply a deep learning approach to solve this problem, which avoids time-consuming hand-design of features. This presents two main challenges. First, we need to evaluate a huge number of candidate grasps. WebOct 1, 2024 · Grasping, carrying and placing of objects are the fundamental capabilities and common operations for robots and robotic manipulators. Grippers are the most essential …
WebMechanisms for Robotic Grasping and Manipulation Annual Review of Control, Robotics, and Autonomous Systems Vol. 4:573-593 (Volume publication date May 2024) First … WebSep 7, 2024 · For robots to attain more general-purpose utility, grasping is a necessary skill to master. Such general-purpose robots may use their perception abilities to visually identify grasps for a given object. A grasp describes how a robotic end-effector can be arranged to securely grab an object and successfully lift it without slippage. Traditionally, grasp …
WebIn this paper, we survey the field of robotic grasping and the work that has been done in this area over the last two decades, with a slight bias toward the development of the … WebJul 6, 2024 · Our review found four common methodologies for robotic grasping: sampling-based approaches, direct regression, reinforcement learning, and exemplar approaches. …
WebApr 28, 2000 · Robotic grasping and contact: a review Abstract: In this paper, we survey the field of robotic grasping and the work that has been done in this area over the last two …
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