In this paper, the mechanical structure of a hexapod walking robot is presented and the kinematic model is established. The foot trajectory of each leg, which is optimized by genetic algorithms to minimize energetic cost, was proposed with two different gait patterns applied. Control system was divided into coordination-layer and execution-layer. Coordination-layer, was a PC responsible, for wh...

Developments in the field of nanobiodevices coupling nanostructures and biological components are of great interest in medical nanorobotics. As the fundamentals of bio/non-bio interaction processes are still poorly understood in the design of these devices, design tools and multiscale dynamics modeling approaches are necessary at the fabrication pre-project stage. This paper proposes a new conc...

Bats exhibit extraordinary flight capabilities that arise by virtue of a variety of unique mechanical features. These flying mammals have developed powerful muscles that provide the folding and extension of their wing-membrane during flight (morphing). Although observing and gaining inspiration from these animals can provide significant insight into the physical requirements of flapping flight,...

In this paper, a novel perfect tracking control method based on multirate feedforward control is proposed. The advantages of the proposed method are that: 1) the proposed multirate feedforward controller eliminates the notorious unstable zero problem in designing the discrete-time inverse system; 2) the states of the plant match the desired trajectories at every sampling point of reference inpu...

AbstructWhile proportional integral derivative (PID) controllers are widely used in industrial applications, they exhibit poor performance when applied to systems containing unknown nonlinearities, such as deadzones, saturation, and hysteresis. In this paper, we propose a fuzzy logic-based precompensation approach for PID controllers. We demonstrate the performance of our scheme via experiments...

In this paper, we present a method for co-evolving morphology and controller of bi-ped humanoid robots. Currently, bi-ped walking humanoid robots are designed manually on trial-and-error basis. Thus, engineers have to design control program for apriori designed morphology, neither of them shown to be optimal within a large design space. We propose evolutionary approach that co-evolves the morph...