Soft Robotics is a new approach towards better human-robot interaction and biomimicry in the robotics field. Its integration with biological materials (Biohybrid soft robotics) is one of the topics being focused on in the soft robotics research in the last fifteen years. The motive for this approach is to combine the best of biological and artificial systems. In this article, Biohybrid soft robots

This paper addresses a comparison between some control methods of three Omni wheels firefighting robot due to the variety of maneuverability. To achieve path planning for firefighting robot to reach a specific point with the shortest path, a kinematics model of omni wheel robot is applied with some control algorithms based on PID controller, Fuzzy logic controller and self-tuned PID using fuzzy

The paper introduces a comparative analysis between three meta-heuristic techniques in the optimization of Proportional-Integral-Derivative (PID) controller for a cascaded control of a ball and beam system. The meta-heuristic techniques presented in this study are Particle Swarm Optimization (PSO), Artificial Bee Colony (ABC) and Bat Algorithm Optimization (BAO). The model uses a DC motor with

An investigation has been made to predict the effects of fore body and after body chitin and chitosan are natural polymers that have many advantages, such as biocompatibility, biodegradability, healing acceleration, non-toxicity, and anti-infection properties. However, the use of pure chitosan films in many applications is limited due to their poor tensile strength and elasticity. Nevertheless

Both energy and availability of water with good quality are essential for the well-being of humans. Thus, it is very important to study the parameters that would affect water quality, so as to come up with mitigation measures if water quality would be at risk or negatively affected. Moreover, it is very important to always search for new energy resources, especially if they are renewable. This

This paper presents the modelling and control of a 2-DOFs Twin rotor multi input multi output (MIMO) system which is a laboratory setup resembling the dynamics of a helicopter. In this paper, the system modelling process is done using the common conventional mathematical model based on Euler-Lagrange method. The transfer functions of the model are used in the different tuning methods to reach the

Substitutions of cations were considered to be the main way for improving the performance of ferrite nanocrystalline structures. In this paper, non-magnetic and magnetic ions were conducted to substitute cobalt spinel ferrite nanoparticles CoFe2O4 NPs (CFO NPs). The studied Co1−xMxFe2O4; M = Zn, Cu, and Mn; x = 0.00, and 0.50) samples were synthesized through a cost-effective sol–gel technique

The current study highlights a sustainable fabrication of nanoscopic thermite (MnO2/Al) system, composed of MnO2 nanoparticles with an average particle size of about 20.8 nm prepared by a hydrothermal processing technique. In addition, it contains aluminium particles having a combustion heat of 32,000 J/g, which is very attractive for advanced energetic systems. Plate-like aluminium nanoparticles

In this paper we implement and evaluate two ways of controlling the steering angle of an autonomous vehicle, PID control with manual tuning followed by gradient descent algorithm tuning-which is able to enhance the performance through self-adjusting the controller parameters-and using supervised machine learning through the end-to-end deep learning for self-driving car which implement

Tuning process which is used to find the optimum values of the proportional integral derivative (PID) parameters, can be performed automatically using meta-heuristics algorithms such as BA (Bat Algorithm), PSO (Particle Swarm Optimization) and ABC (Artificial Bee Colony). This paper presented a theoretical and practical implementation of a drawing robot using BA to tune the PID controller