Artificial nociception and motor responses to pain, for humans and robots
This concept paper describes nociception and the role of pain in humans. Understanding the mechanisms of pain can give insight into the implementation of artificial pain for robots. Identification of noxious contacts could help robots to elicit reactions in order to avoid or minimize damage to the robot and the environment. The information processing of artificial pain can also be used to optimally regulate incoming sensory information and prevent accidents or real pain to the users of robotic systems and prostheses, improving the performance of robots and their interaction with human users. Besides the applications of artificial nociception for robotic manipulation and intelligent prostheses, the development of computational models of pain mechanisms for the discrimination of noxious stimuli from innocuous touch can find crucial clinical applications, addressing the vulnerable non-verbal population who are unable to report pain.
A study of the factors which affect the fold kinematic activities has been presented,through the design analysis,the sensitivity of acceleration vs.design was obtained.According to the sensitivity,the lengths of linkage and crank were determined as design variables.The optimization technique was applied to an ADAMS Model so as to minimize the value of acceleration.The result showed that the value of jerk was also improved while the value of acceleration was optimizing.It will improve the vibration properties and be the foundation of dynamics simulation later on.