An evolutionary design scheme of neural oscillatory network for generation of biped walking patterns

AbstractThe presented work discusses some evolutionary phenomena underlining the complexity of organism creation and surprisingly the short evolutionary time of this process in particular. Uncommonness of this process ensued from the necessary simultaneous combining of highly complicated biological mechanisms, of which some were generated independently before the direct evolutionary demand. This in conclusion points to still not fully understood biological program ensuring superiority of the permanent evolutionary progress over effects of purely random mutational changes as the driving mechanism in evolution.

Download Full-text

Multi-objective evolutionary design of granular rule-based classifiers

Granular Computing ◽

10.1007/s41066-015-0004-z ◽

2015 ◽

Vol 1 (1) ◽

pp. 37-58 ◽

Cited By ~ 80

Author(s):

Michela Antonelli ◽

Pietro Ducange ◽

Beatrice Lazzerini ◽

Francesco Marcelloni

Keyword(s):

Evolutionary Design ◽

Rule Based ◽

Multi Objective

Download Full-text

Optimized stable gait planning of biped robot using multi-objective evolutionary JAYA algorithm

International Journal of Advanced Robotic Systems ◽

10.1177/1729881420976344 ◽

2020 ◽

Vol 17 (6) ◽

pp. 172988142097634

Author(s):

Huan Tran Thien ◽

Cao Van Kien ◽

Ho Pham Huy Anh

Keyword(s):

Inverse Kinematics ◽

Biped Robot ◽

Step Length ◽

Jaya Algorithm ◽

Kinetic Chain ◽

Biped Walking ◽

Gait Planning ◽

Multi Objective ◽

Simulation And Experiment ◽

Stable Gait

This article proposes a new stable biped walking pattern generator with preset step-length value, optimized by multi-objective JAYA algorithm. The biped robot is modeled as a kinetic chain of 11 links connected by 10 joints. The inverse kinematics of the biped is applied to derive the specified biped hip and feet positions. The two objectives related to the biped walking stability and the biped to follow the preset step-length magnitude have been fully investigated and Pareto optimal front of solutions has been acquired. To demonstrate the effectiveness and superiority of proposed multi-objective JAYA, the results are compared to those of MO-PSO and MO-NSGA-2 optimization approaches. The simulation and experiment results investigated over the real small-scaled biped HUBOT-4 assert that the multi-objective JAYA technique ensures an outperforming effective and stable gait planning and walking for biped with accurate preset step-length value.

Download Full-text

Design and Implementation Scheme of QSFP28 Optical Transceiver for Long-Reach Transmission Using PAM4 Modulation

Applied Sciences ◽

10.3390/app11062803 ◽

2021 ◽

Vol 11 (6) ◽

pp. 2803

Author(s):

Jae-Woo Kim ◽

Dong-Seong Kim ◽

Seung-Hwan Kim ◽

Sang-Moon Shin

Keyword(s):

Form Factor ◽

Low Cost ◽

Pulse Amplitude ◽

Small Form ◽

Transceiver Design ◽

Industrial Sites ◽

Design And Implementation ◽

Design Scheme ◽

Implementation Scheme ◽

Small Form Factor

A quad, small form-factor pluggable 28 Gbps optical transceiver design scheme is proposed. It is capable of transmitting 50 Gbps of data up to a distance of 40 km using modulation signals with a level-four pulse-amplitude. The proposed scheme is designed using a combination of electro-absorption-modulated lasers, transmitter optical sub-assembly, low-cost positive-intrinsic-native photodiodes, and receiver optical sub-assembly to achieve standard performance and low cost. Moreover, the hardware and firmware design schemes to implement the optical transceiver are presented. The results confirm the effectiveness of the proposed scheme and the performance of the manufactured optical transceiver, thereby confirming its applicability to real industrial sites.

Download Full-text