Tactile recognition system for surgical robots

Superseding voice and vision recognition systems, a brand new systematical method of tactile recognition, which gives robots ´tactile sense´, is proposed. Based on the two basic data of robotics, namely position and force data, this new method analyzes the characteristics of each object in a systematic way and categorizes them quantitatively based on these characteristic parameters. For instance, this system can tell which organ the robot is touching with a sensitivity that is as good or better than experienced doctors. This system also allows robots to automatically adjust forces according to an object´s material properties such as hardness or fragility thereby enhancing the safety of the technique. Providing new human-like ´senses´ to robots, this system would increase the long term viability of robotics.