Abdulrahman Abdulkareem Sattoori Alshanoon
University Putra Malaysia, Malaysia
Posters & Accepted Abstracts: Adv Robot Autom
Different approaches have been utilized to evolve robotic hands. The varied techniques have focused on integration of special sensors that were implemented in intelligent robotic hand. In this study, a robotic hand model is designed and assembled to execute an object gripping mission based on slip situations. The model is incorporated with tactile pressure sensors, which report signals measured physically when the pressure sensors and the gripped object in touch condition. The robotic hand consists of slip detection sensors to analyze slipping features that are presented as distance and velocity, which occur during slip situation. These features are detected and analyzed to provide the system with a reliable re-gripping operation. The acceleration information caused by object slipping is indicated by using an accelerometer sensor. A rotary encoder device is used for detecting slip situation features. Experimental signals of slip events were measured to be interpreted in order to achieve re-gripping tasks. Empirical results detect the correlation between the distance that an object has slipped and the required force to re-grip the object. This approach is similar to Hooke�s law formula.
Advances in Robotics & Automation received 1275 citations as per Google Scholar report
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