This paper proposes hybridization of fuzzy Q-learning and behaviorbased control for autonomous mobile robot navigation problem in cluttered environment with unknown target position. The fuzzy Q-learning is incorporate d in ...

The use of a small number of surface electromyography (EMG) channels on the transradial amputee in a myoelectric controller is a big challenge. This paper proposes a pattern recognition system using an extreme learning ...

Artikel ini memaparkan desain prototip robot yang digunakan dalam bidang pertanian sebagai alternatif penanganan hama tanaman padi. Desain robot yang digunakan adalah model hexapod dengan mekanisme satu aktuator untuk ...

Projecting a high dimensional feature into a lowdimensional feature without compromising the feature characteristic is a challenging task. This paper proposes a novel dimensionality reduction constituted from the ...

An accurate finger movement recognition is required in many robotics prosthetics and assistive hand devices. The use of a small number of Electromyography (EMG) channels for classifying the finger movement is a challenging ...

To realize the intelligent system in the robot that does not depend on the environment model. This research focused on five legs robot that inspired from sea star (phylum echinodermata). For cluttered environment, it is ...

This paper proposes the pattern recognition system for individual and combined finger movements by using two channel electromyography (EMG) signals. The proposed system employs Spectral Regression Discriminant ...

To get a compliant active exoskeleton controller, the force interaction controllers are mostly used in form of either the impedance or admittance controllers. The impedance or admittance controllers can only work if they ...

A variable translation wavelet neural network (VT-WNN) is a type of wavelet neural network that is able to adapt to the changes in the input. Different learning algorithms have been proposed such as backpropagation ...

This paper proposes a new structure of wavelet extreme learning machine i.e. an adaptive wavelet extreme learning machine (AW-ELM) for finger motion recognition using only two EMG channels. The adaptation ...