Understanding Self-Managed Teams Using Biomimicking

AbstractThe potential high performance of self-managed teams can only materialize with implementing such teams properly and differently from traditional manager-led teams. This qualitative descriptive multiple case study presents biomimicking as a unique and untapped resource to achieve that potential by applying a biomimicking lens to help understand successful decision-making patterns for self-managed teams. The study population included team members of self-managed teams working in information technology companies in Toronto, Ontario, as the technology hub of Canada with a tendency to apply the latest approaches for teamwork performance and output. The conceptual framework of the study included teamwork, self-management, social choice, and social learning. Interviews conducted with members of 3 self-managed teams in the same company were the main source of data, manually coded, and analyzed to present how team members described their experience working in self-managed teams. The emerging themes of communications, core process, decisions, and experience were reviewed in conjunction with behaviors observed in social beings and intelligent swarms. The findings of the study demonstrated more success in achieving organizational goals with biomimicking behaviors. The results of the study can lead to the adoption of self-managed teams by more organizations. Improved chances of success of self-managed teams using biomimicking behaviors may result in higher organizational outputs and higher employee satisfaction and lead to positive social change by optimizing limited resources and promoting better work/life balance

Research Trends and Future Perspectives in Marine Biomimicking Robotics

Mechatronic and soft robotics are taking inspiration from the animal kingdom to create new high-performance robots. Here, we focused on marine biomimetic research and used innovative bibliographic statistics tools, to highlight established and emerging knowledge domains. A total of 6980 scientific publications retrieved from the Scopus database (1950–2020), evidencing a sharp research increase in 2003–2004. Clustering analysis of countries collaborations showed two major Asian-North America and European clusters. Three significant areas appeared: (i) energy provision, whose advancement mainly relies on microbial fuel cells, (ii) biomaterials for not yet fully operational soft-robotic solutions; and finally (iii), design and control, chiefly oriented to locomotor designs. In this scenario, marine biomimicking robotics still lacks solutions for the long-lasting energy provision, which presently hinders operation autonomy. In the research environment, identifying natural processes by which living organisms obtain energy is thus urgent to sustain energy-demanding tasks while, at the same time, the natural designs must increasingly inform to optimize energy consumption

Spike‐Timing‐Dependent Plasticity in Memristors

The spike‐timing‐dependent plasticity (STDP) characteristic of the memristor plays an important role in the development of neuromorphic network computing in the future. The STDP characteristics were observed in different memristors based on different kinds of materials. The investigation regarding the influences of device hysteresis characteristic, the initial conductance of the memristors, and the waveform of the voltage pulses applied to the memristor as preneuron voltage spike and postneuron voltage spike on the STDP behavior of memristors are reviewed

3D Printing of Hybrid Architectures via Core-Shell Material Extrusion Additive Manufacturing

Biological materials often employ hybrid architectures, such as the core-shell motif present in porcupine quills and plant stems, to achieve unique properties and performance. Drawing inspiration from these natural materials, a new method to fabricate lightweight and stiff core-shell architected filaments is reported. Specifically, a core-shell printhead conducive to printing highly loaded fiber-filled inks, as well as a new low-density syntactic foam ink, are utilized to 3D-print core-shell architectures consisting of a syntactic epoxy foam core surrounded by a stiff carbon fiber-reinforced epoxy composite shell. Effective printing of test specimens and structures with controlled geometry, composition, and architecture is demonstrated with printed core-shell samples exhibiting up to a 25 percent increase in specific stiffness over constituent materials. A detrimental increase in foam density was observed during initial core-shell printing due to failure of glass microballoons (GMBs) during extrusion. To solve this, the second part of the dissertation investigates the relationships between GMB loading, extrusion pressure, nozzle diameter, and flowrate on printed density. These parameters are investigated to gain understanding of the conditions leading to GMB failure, informing selection of process parameters to minimize it. A new syntactic foam ink is formulated with GMBs that exhibit a lower average diameter and higher crush strength, ultimately enabling printing without prominent GMB failure and the ability to achieve near theoretical printed density. The new foam samples are stronger and stiffer than conventional syntactic foams and current DIW-printed foams. Further implementation of the new foam in the C-S architecture enabled a 5 percent increase in specific stiffness over previous values. In the last study, work is done to further expand the capability of C-S printing by demonstrating multimaterial 3D printing using the core-shell nozzle. This approach enables “on-the-fly” switching between materials during fabrication, without the need for two nozzles. Material transition behavior is analyzed, multimaterial components are successfully printed, and flexural testing is conducted. Overall, the new approach enables material switching with a continuous print path, providing greater design flexibility and compositional control, opening new routes to DIW print multimaterial architectures

Neuromorphic Computing between Reality and Future Needs

Neuromorphic computing is a one of computer engineering methods that to model their elements as the human brain and nervous system. Many sciences as biology, mathematics, electronic engineering, computer science and physics have been integrated to construct artificial neural systems. In this chapter, the basics of Neuromorphic computing together with existing systems having the materials, devices, and circuits. The last part includes algorithms and applications in some fields

Bio-inspired knee joint: Trends in the hardware systems development

The knee joint is a complex structure that plays a significant role in the human lower limb for locomotion activities in daily living. However, we are still not quite there yet where we can replicate the functions of the knee bones and the attached ligaments to a significant degree of success. This paper presents the current trend in the development of knee joints based on bio-inspiration concepts and modern bio-inspired knee joints in the research field of prostheses, power-assist suits and mobile robots. The paper also reviews the existing literature to describe major turning points during the development of hardware and control systems associated with bio-inspired knee joints. The anatomy and biomechanics of the knee joint are initially presented. Then the latest bio-inspired knee joints developed within the last 10 years are briefly reviewed based on bone structure, muscle and ligament structure and control strategies. A leg exoskeleton is then introduced for enhancing the functionality of the human lower limb that lacks muscle power. The design consideration, novelty of the design and the working principle of the proposed knee joint are summarized. Furthermore, the simulation results and experimental results are also presented and analyzed. Finally, the paper concludes with design difficulties, design considerations and future directions on bio-inspired knee joint design. The aim of this paper is to be a starting point for researchers keen on understanding the developments throughout the years in the field of bio-inspired knee joints

The 2021 flexible and printed electronics roadmap

This roadmap includes the perspectives and visions of leading researchers in the key areas of flexible and printable electronics. The covered topics are broadly organized by the device technologies (sections 1–9), fabrication techniques (sections 10–12), and design and modeling approaches (sections 13 and 14) essential to the future development of new applications leveraging flexible electronics (FE). The interdisciplinary nature of this field involves everything from fundamental scientific discoveries to engineering challenges; from design and synthesis of new materials via novel device design to modelling and digital manufacturing of integrated systems. As such, this roadmap aims to serve as a resource on the current status and future challenges in the areas covered by the roadmap and to highlight the breadth and wide-ranging opportunities made available by FE technologies