Bottom-Up Approach for Behavior Acquisition of Agents Equipped With Multi-Sensors

Abstract

-While the top-down approach of artificial intelligence encounters the frame problem, the bottom-up approach based on a creature's evolution and behavior is effective for robotic design of intellectual behavior in a specific field. We propose the Evolutionary Behavior Table System (

Physical and Virtual Intelligent Sensors for Integrated Health Management Systems

“…Other attempts to provide intelligence through evolutionary approaches have been reported by Hoshikawa, et al [11]. Redundancy leading to enhanced quality of event sensing has often been reported in the literature [12] and often remains a popular method when one can use multiple sensors or networks of sensors.…”

Probabilistic Joint State Estimation of Robot and Non-static Objects for Mobile Manipulation

“…Among these methods, intelligent robots are believed to be able to function in a human-like way and provide kinds of services for people [3][4] [5]. More concretely, mobile service robots are installed in home care environments, endowed with capabilities of a large variety of manipulative or collective tasks [6] [7], for example, delivering messages, fetching objects, cleaning rooms, opening doors and so on. Such robots must navigate in dynamic indoor environment with coexisting human as well as interact with objects (e.g., doors, drawers).…”

Development of an Adjustable Gripper for Robotic Picking and Placing Operation

“…The smart device is one of the important electronic equipment need to be considered because the gripper robot involved with adjustable mechanism. This smart device which is conceptually referred as sensor-actuator subsystem with rich sensing and also function as the feedback input to the system for identifying various object with different shape and size [12][13][14].…”