Metal or muscle? The future of biologically inspired robots

2020 ◽  
Vol 5 (38) ◽  
pp. eaba6149 ◽  
Author(s):  
Barry Andrew Trimmer
Keyword(s):  
Living Cells ◽  
Biologically Inspired ◽  
Biologically Inspired Robots ◽  
The Future

Biology has inspired the development of agile robots, and it is now teaching us how to grow machines from living cells.

Biorobots, Nonlinear Dynamics and Perception

2008 ◽  
Vol 58 ◽  
pp. 143-152
Author(s):  
Paolo Arena ◽  
Davide Lombardo ◽  
Luca Patanè
Keyword(s):  
Nonlinear Dynamics ◽  
Real Time ◽  
Continuous Time ◽  
Biologically Inspired ◽  
Time Dynamics ◽  
Nonlinear Network ◽  
Biologically Inspired Robots ◽  
Novel Approach ◽  
Perceptual Control ◽  
Efficient Control

In this contribution a survey on a novel approach to locomotion and perception in biologically inspired robots is presented. The basic electronic architecture for modeling and implementing nonlinear dynamics involved in motion and perceptual control of the robot is the Cellular nonlinear network paradigm. It is shown how this continuous time lattice of neural-like circuits can generate suitable and real-time dynamics for efficient control of multi-actuators moving machines, and also to create the basis for a perceptual control of their behaviors.

Biologically inspired robots

2001 ◽  
Author(s):  
Chris Melhuish ◽  
Andrew Adamatzky ◽  
Brett A. Kennedy
Keyword(s):  
Biologically Inspired ◽  
Biologically Inspired Robots

The first biologically inspired robots

Robotica ◽  
2003 ◽  
Vol 21 (4) ◽  
pp. 351-363 ◽  
Author(s):  
Owen Holland
Keyword(s):  
Biologically Inspired ◽  
Biologically Inspired Robots ◽  
The Brain

Thie first biologically inspired robots, the famous electromechanical tortoises, were designed and built in 1949 by W. Grey Walter. This paper reviews their origins in Walter's theories of the brain and the nature of life, and uses contemporary unpublished notes and photographs to assess their significance then and now.

Humanoids and the Potential Role of Electroactive Materials/Mechanisms in Advancing their Capability

2016 ◽  
Vol 97 ◽  
pp. 81-89 ◽  
Author(s):  
Yoseph Bar-Cohen
Keyword(s):  
Science Fiction ◽  
Potential Role ◽  
Biologically Inspired ◽  
Fukushima Accident ◽  
Significant Development ◽  
Electroactive Materials ◽  
Emergency Responders ◽  
Biologically Inspired Robots ◽  
Potential Applications

Humanoids are increasingly becoming capable biologically inspired robots that are appearing and behaving lifelike. Making humanlike robots is the ultimate challenge to biomimetics and, while for many years they were considered a science fiction, such robots are increasingly becoming engineering reality. Progress in producing such robots are allowing them to perform impressive functions and tasks. In 2012, in an effort to promote significant advances in developing humanoids, DARPA posed a Robotic Challenge to produce such robots that operate in disaster scenarios towards making society more resilient. The challenge was focused on the requirements that have been needed after the Fukushima accident in Japan, hoping to advance the field of disaster robotics. This disaster posed significant challenges to emergency responders since radiation prevented people from going into the station and venting the explosive gas. Another significant development in this field is the fact that major US corporations have entered into the race to produce commercial humanoids. As a result, one can expect significant and rapid progress in this field. Developing humanoids is critically dependent of the use of highly efficient, compact, lightweight actuators and electroactive materials are offering great potential. This paper reviews the state-of-the-art of humanlike robots, potential applications and challenges, as well as the actuation materials that are used or could be used.

scholarly journals Hideous progeny? The future of growing humans

2021 ◽  
Author(s):  
Philip Ball
Keyword(s):  
Living Cells ◽  
Embryonic Cell ◽  
Tissue Type ◽  
Cell State ◽  
The Future ◽  
Self And Identity

Today’s biotechnologies are not simply providing powerful new possibilities in medicine; they are transforming our view of what it can mean to be human. In particular, the discovery of the extreme plasticity of cells – the possibility of changing one tissue type for another, and of regenerating the embryonic cell state from which we all grew – forces us to confront our status as a contingent community of living cells, and challenges traditional notions of self and identity. Here I discuss some of these technologies and their broader social, ethical and philosophical implications.

scholarly journals Extraribosomal Functions of Cytosolic Ribosomal Proteins in Plants

2021 ◽  
Vol 12 ◽  
Author(s):  
Wei Xiong ◽  
Ting Lan ◽  
Beixin Mo
Keyword(s):  
Messenger Rna ◽  
Ribosomal Proteins ◽  
Current Knowledge ◽  
Plant Immunity ◽  
Living Cells ◽  
Future Research ◽  
Ribosome Assembly ◽  
Microrna Biogenesis ◽  
Polypeptide Synthesis ◽  
The Future

Ribosomes are basic translational machines in all living cells. The plant cytosolic ribosome is composed of four rRNAs and approximately 81 ribosomal proteins (RPs). In addition to the fundamental functions of RPs in the messenger RNA decoding process as well as in polypeptide synthesis and ribosome assembly, extraribosomal functions of RPs that occur in the absence of the ribosome have been proposed and studied with respect to RPs’ ability to interact with RNAs and non-ribosomal proteins. In a few cases, extraribosomal functions of several RPs have been demonstrated with solid evidences in plants, including microRNA biogenesis, anti-virus defenses, and plant immunity, which have fascinated biologists. We believe that the widespread duplication of RP genes in plants may increase the potential of extraribosomal functions of RPs and more extraribosomal functions of plant RPs will be discovered in the future. In this article we review the current knowledge concerning the extraribosomal functions of RPs in plants and described the prospects for future research in this fascinating area.

CTRNN Computing Realization Through Network of Coupled MEMS

2018 ◽  
Author(s):  
Mehari K. Tesfay ◽  
Mohammad H. Hasan ◽  
Fadi Alsaleem ◽  
Mostafa Rafaie
Keyword(s):  
Neural Networks ◽  
Recurrent Neural Networks ◽  
Continuous Time ◽  
Lower Energy ◽  
Mems Devices ◽  
Biologically Inspired ◽  
Computing Power ◽  
Analog Computing ◽  
Computing Paradigm ◽  
The Future

With enormous data being generated every day from countless applications and sensor networks, the need for efficient computing devices to process and make use of this data continues to grow and is projected to increase in the future. The idea of analog computing has been redeemed recently and is poised as the future computing paradigm in these applications due to its powerful computing power and lower energy consumption. This work presents a mechanism where MEMS devices are coupled together resulting in dynamic behaviors that qualitatively resemble that of the biologically-inspired Continuous-Time Recurrent Neural Networks (CTRNNs). Moreover, interesting oscillations behaviors and limit cycles attributed to various weight manipulations and excitation input levels have been observed.

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