Robotics

The application of automated machinery to tasks traditionally done by hand, as in the manufacturing industry.


Articles & Tech Transfers


Adaptive categorization of ART networks in robot behavior learning using game theoretic formulation
Abstract Adaptive Resonance Theory (ART) networks are employed in robot behavior learning. Two of the difficulties in online robot behavior learning, namely, (1) exponential memory increases with time, (2) difficulty for operators to ...

An ART-based fuzzy controller for the adaptive navigation of a quadruped robot
Abstract An adaptive-resonance theory (ART)-based fuzzy controller is presented for the adaptive navigation of a quadruped robot in cluttered environments, by incorporating the capability of ART in stable category recognition into ...

Knowledge acquisition and learning in unstructured robotic assembly environments
Abstract Mechanical assembly by robots has traditionally depended on simple sensing systems and the robot manufacturers programming language. However, this restricts the use of robots in complex manufacturing operations. An ...

Model-based fault detection and isolation method using ART2 neural network
Abstract This article presents a model-based fault diagnosis method to detect and isolate faults in the robot arm control system. The proposed algorithm is composed functionally of three main parts: parameter estimation, fault ...

On the design of intelligent robotic agents for assembly
Abstract Robotic agents can greatly be benefited from the integration of perceptual learning in order to monitor and adapt to changing environments. To be effective in complex unstructured environments, robots have to perceive the ...

Prune-able fuzzy ART neural architecture for robot map learning and navigation in dynamic environments
Abstract Mobile robots must be able to build their own maps to navigate in unknown worlds. Expanding a previously proposed method based on the fuzzy ART neural architecture (FARTNA), this paper introduces a new online method for ...

Learning and Foraging in Robot-bees
Abstract Honey-bees have long served as a model organism for investigating insect navigation and collective behavior: they exhibit division of labor and are an example of insect societies where direct communication between workers ...

Machine vision approach for robotic assembly.
Abstract Purpose ? Outcome with a novel methodology for online recognition and classification of pieces in robotic assembly tasks and its application into an intelligent manufacturing cell. Design/methodology/approach ? The ...

SOVEREIGN: An autonomous neural system for incrementally learning planned action sequences to navigate towards a rewarded goal
Abstract How do reactive and planned behaviors interact in real time? How are sequences of such behaviors released at appropriate times during autonomous navigation to realize valued goals? Controllers for both animals and mobile ...

Self organizing neural network architectures for adaptive pattern recognition and robotics
Abstract In this chapter, we discuss some recent results in neural networks relevant to adaptive pattern recognition and sensory-motor control problems. IN biologically-oriented neural networks, whose fast dynamics are governed by ...

Neural sensor fusion for spatial visualization on a mobile robot
Abstract An ARTMAP neural network is used to integrate visual information and ultrasonic sensory information on a B14 mobile robot. Training samples for the neural network are acquired without human intervention. Sensory snapshots ...

Mobile robot sensor fusion with fuzzy ARTMAP
Abstract The raw sensory input available to a mobile robot suffers from a variety of shortcomings. Sensor fusion can yield a percept more veridical than is available from any single sensor input. In this project, the fuzzy ARTMAP ...