Bio-inspired control of automated stem cell production

Bio-inspired Control of Dexterous Manipulation

Robots successfully manipulate objects in controlled environments. However, they fail in unknown environments. Few years old children lift and manipulate unfamiliar objects more dexterously than today’s robots. Therefore, roboticists are looking for inspiration on neurophysiological studies to improve their robotics control models. We present an artificial intelligence control model for dextero...

Optimal Idle Speed Control of a Natural Aspirated Gasoline Engine Using Bio-inspired Meta- heuristic Algorithms

In order to lowering level of emissions of internal combustion engines (ICEs), they should be optimally controlled. However, ICEs operate under numerous operating conditions, which in turn makes it difficult to design controller for such nonlinear systems. In this article, a generalized unique controller for idle speed control under whole loading conditions is designed. In the current study, in...

A Bio-inspired Multi-agent Control Framework

The biological world has often offered inspirations to novel approaches to solving engineering problems. This paper presents an engineering analogy of the human immune system, known as the artificial immune system (AIS) for the strategic control of multi-agent based systems such as fleet of autonomous guided vehicles or a multi-jointed manipulator. The human immune system is a complex, adaptive...

Automated Scour Detection Arrays Using Bio-inspired Magnetostrictive Flow Sensors

Bio-Inspired Feedback Control of 3D Humanlike Bipedal Robots

Bridging contemporary techniques in bio-inspired control affords a unique perspective into human locomotion where the interplay between sagittal and coronal dynamics is understood and exploited to simplify control design. Functional Routhian reduction is particularly useful on bipeds as it decouples these dynamics, allowing for control design on a sagittallyrestricted model while providing coro...