Minimal Grasper for Pick-and-Place Tasks

Abstract

 In this paper, a New technology for the grasping of components was introduced, which is flexible and proposed for pick-and-place tasks with low manipulation complexity for industrial applications. Here it having two main characteristics: self adaptively and flexibility. Self-adaptively says that the proposed grasper can grip an object in a self-adaptive way such that various process complexities (e.g., sensing, force control, and sensor-motor coordination) are significantly reduced. In flexibility, we can see, by using a flexible material, a stable grip can be implemented to cause increased friction between the grasper and the target object as a result of increased contact area. These two properties help the proposed grasper to minimize internal forces in a passive manner and to achieve successful force distribution with self-adaptivity when performing enveloping grasping. Three sets of experiments were performed with an average success rate of 93.2% in pick and-place tasks. An average success rate of 93.2% were permomed.

Authors and Affiliations

Janifer Akhila . A*1,

Keywords

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  • EP ID EP148457
  • DOI -
  • Views 67
  • Downloads 0

How To Cite

Janifer Akhila . A*1, (30).  Minimal Grasper for Pick-and-Place Tasks. International Journal of Engineering Sciences & Research Technology, 3(5), 616-624. https://europub.co.uk/articles/-A-148457