The new millennium witnessed increasing attention to the field of robotics, especially the development of humanoid bipedal robot. Attention is noticed from the increasing number of publications as a result of a multitude of humanoid projects for commercial and academic goals. This paper briefly visits the recent activities in this field, highlighting the importance and motivation behind adopting bipedal humanoid projects, particularly underlining biologically inspired design concept, bipedal locomotion and communication. Ultimately, emphasising on power-efficient design. The problem of endurance and effective duty cycle were presented. Finally, potential future application for the humanoid robot was briefly listed.
Exoskeleton Robot is one of the most significant examples of human-oriented robotic devices.
Nevertheless, the main challenge remains the complexity of their mechanical design and human-robot interfaces. This paper is an outcome of a research to model and to simulate the support of mobility of an elderly people using exoskeleton. Exoskeleton is developed in order to complement the corporal deficiencies of an elderly person in standing up and sitting down. When the natural joint torques is integrated with the exoskeleton’s torque the result is in an overall torque that is comparable to that of a physically normal person. This work focuses on standing-up and sitting-down movements. Appropriate simulation models are formulated and their performances examined against measured data. The results with PID control show that at different speed of standing up and sitting down, the joint torques can be compromised. This is done within allowable limits.
Herbs have unique characteristics such as colour, texture and odour. In general, herb identification is
through organoleptic methods and is heavily dependent on botanists. It is becoming more difficult to
identify different herb species in the same family based only on their aroma . It is because of their similar
physical appearance and smell. Artificial technology, unlike humans, is thought to have the capacity to
identify different species with precision. An instrument used to identify aroma is the electronic nose.
It is used in many sector including agriculture. The electronic nose in this project was to identify the
odour of 12 species such as lauraceae, myrtaceae and zingiberaceae families. The output captured by the
electronic nose gas sensors were classified using two types of artificial intelligent techniques: Artificial
Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS). From the result, ANFIS
has 94.8% accuracy compared with ANN at 91.7%.
Radio telescope is an application that requires a precise position control as it should point to the exact
coordinate so that it could receive the desired signal. The main idea of this paper is to optimise the PID
controller by introducing slope variation method in order to control the position of a radio telescope.
This proposed method is also validated with the presence of disturbance, such as wind gust disturbance
with different speed amplitude. The results indicate that the proposed optimisation method has a better
result with no overshoot and able to attenuate wind gust disturbance when compared with conventional
PID controller.