Abstract: Force control is one of the most important schemes in many industrial applications, especially in painting and grasping tasks.
To deal with this problem, the fast dynamic identification using a pair of input and output data is proposed to identify the plant dynamic of the force control ...
Apr 12, 2022 · The result shows that the developed soft gripper can identify the gripped objects accurately, and it can be further applied to an assembly ...
Jan 21, 2016 · In this paper, a smart robotic gripper is designed and developed with vision sensor for industrial applications. This vision sensor is employed ...
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Dec 4, 2019 · This paper presents an integrated gripper that combines a linkage-driven underactuated gripper with a suction gripping system for picking up a variety of ...
Aug 5, 2024 · This paper presents the development of a smart robotic gripper for deployment in the meat industry.
This paper gives a detailed summary about the state-of-the-art robotic grippers, grasping and sensor-based control methods, as well as their applications in ...
Missing: smart identification
Sep 22, 2021 · The developed tactile sensor matrix was found to be robust and it has good reproducibility in parameters like contact force measurement, contact point estimate ...
Jun 14, 2022 · This study first explores different aspects of grasp synthesis, then develop on how the grasp synthesis is done for a dataset of objects and for ...
Missing: smart | Show results with:smart
Jul 4, 2013 · The problem is to grasp the objects without knowing its weight or surface friction in advance. This requires the detection of slip well in ...