scholarly journals SMA-Based Muscle-Like Actuation in Biologically Inspired Robots: A State of the Art Review

10.5772/50209 ◽  
2012 ◽  
Author(s):  
William Coral ◽  
Claudio Rossi ◽  
Julian Colorado ◽  
Daniel Lemus ◽  
Antonio Barrientos
Keyword(s):  
State Of The Art ◽  
Biologically Inspired ◽  
Biologically Inspired Robots

scholarly journals Stability and memory-loss go hand-in-hand: three results in dynamics and computation

2020 ◽  
Vol 476 (2242) ◽  
pp. 20200563
Author(s):  
G. Manjunath
Keyword(s):  
State Of The Art ◽  
Memory Loss ◽  
General Setting ◽  
Biologically Inspired ◽  
Driven Systems ◽  
Hardware Implementations ◽  
Internal States ◽  
Definition Of ◽  
Necessary And Sufficient ◽  
Dedicated Hardware

The search for universal laws that help establish a relationship between dynamics and computation is driven by recent expansionist initiatives in biologically inspired computing. A general setting to understand both such dynamics and computation is a driven dynamical system that responds to a temporal input. Surprisingly, we find memory-loss a feature of driven systems to forget their internal states helps provide unambiguous answers to the following fundamental stability questions that have been unanswered for decades: what is necessary and sufficient so that slightly different inputs still lead to mostly similar responses? How does changing the driven system’s parameters affect stability? What is the mathematical definition of the edge-of-criticality? We anticipate our results to be timely in understanding and designing biologically inspired computers that are entering an era of dedicated hardware implementations for neuromorphic computing and state-of-the-art reservoir computing applications.

scholarly journals Sperm Cell Driven Microrobots—Emerging Opportunities and Challenges for Biologically Inspired Robotic Design

Micromachines ◽  
2020 ◽  
Vol 11 (4) ◽  
pp. 448 ◽  
Author(s):  
Ajay Singh ◽  
Mohammad Ansari ◽  
Mihir Mahajan ◽  
Shubhangi Srivastava ◽  
Shubham Kashyap ◽  
...  
Keyword(s):  
Targeted Drug Delivery ◽  
State Of The Art ◽  
Cell Manipulation ◽  
Small Scale ◽  
Sperm Cells ◽  
Biologically Inspired ◽  
New Class ◽  
Targeted Drug ◽  
New Applications ◽  
Coupling Mechanisms

With the advent of small-scale robotics, several exciting new applications like Targeted Drug Delivery, single cell manipulation and so forth, are being discussed. However, some challenges remain to be overcome before any such technology becomes medically usable; among which propulsion and biocompatibility are the main challenges. Propulsion at micro-scale where the Reynolds number is very low is difficult. To overcome this, nature has developed flagella which have evolved over millions of years to work as a micromotor. Among the microscopic cells that exhibit this mode of propulsion, sperm cells are considered to be fast paced. Here, we give a brief review of the state-of-the-art of Spermbots—a new class of microrobots created by coupling sperm cells to mechanical loads. Spermbots utilize the flagellar movement of the sperm cells for propulsion and as such do not require any toxic fuel in their environment. They are also naturally biocompatible and show considerable speed of motion thereby giving us an option to overcome the two challenges of propulsion and biocompatibility. The coupling mechanisms of physical load to the sperm cells are discussed along with the advantages and challenges associated with the spermbot. A few most promising applications of spermbots are also discussed in detail. A brief discussion of the future outlook of this extremely promising category of microrobots is given at the end.

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.

scholarly journals Design and evaluation of a biologically-inspired cloud elasticity framework

2020 ◽  
Vol 23 (4) ◽  
pp. 3095-3117
Author(s):  
Amjad Ullah ◽  
Jingpeng Li ◽  
Amir Hussain
Keyword(s):  
Fuzzy System ◽  
State Of The Art ◽  
The State ◽  
Effective Management ◽  
Biologically Inspired ◽  
Computational Overhead ◽  
Cloud Elasticity ◽  
Computational Resources ◽  
Auto Scaling ◽  
Selection Of

Abstract The elasticity in cloud is essential to the effective management of computational resources as it enables readjustment at runtime to meet application demands. Over the years, researchers and practitioners have proposed many auto-scaling solutions using versatile techniques ranging from simple if-then-else based rules to sophisticated optimisation, control theory and machine learning based methods. However, despite an extensive range of existing elasticity research, the aim of implementing an efficient scaling technique that satisfies the actual demands is still a challenge to achieve. The existing methods suffer from issues like: (1) the lack of adaptability and static scaling behaviour whilst considering completely fixed approaches; (2) the burden of additional computational overhead, the inability to cope with the sudden changes in the workload behaviour and the preference of adaptability over reliability at runtime whilst considering the fully dynamic approaches; and (3) the lack of considering uncertainty aspects while designing auto-scaling solutions. In this paper, we aim to address these issues using a holistic biologically-inspired feedback switch controller. This method utilises multiple controllers and a switching mechanism, implemented using fuzzy system, that realises the selection of suitable controller at runtime. The fuzzy system also facilitates the design of qualitative elasticity rules. Furthermore, to improve the possibility of avoiding the oscillatory behaviour (a problem commonly associated with switch methodologies), this paper integrates a biologically-inspired computational model of action selection. Lastly, we identify seven different kinds of real workload patterns and utilise them to evaluate the performance of the proposed method against the state-of-the-art approaches. The obtained computational results demonstrate that the proposed method results in achieving better performance without incurring any additional cost in comparison to the state-of-the-art approaches.

scholarly journals How Does Biologically Inspired Design Cope with Multi-Functionality?

2019 ◽  
Vol 1 (1) ◽  
pp. 349-358
Author(s):  
Nicklas Svendsen ◽  
Torben Anker Lenau
Keyword(s):  
Literature Review ◽  
Product Innovation ◽  
State Of The Art ◽  
Problem Analysis ◽  
Biologically Inspired ◽  
Multiple Functions ◽  
Current State ◽  
Chamber Model ◽  
Biologically Inspired Design ◽  
Functional Problems

AbstractAs catalysts for product innovation and product development, different approaches for biologically inspired design (BID) are exciting options. However, while general BID theory require a focus on single functions, real world products are characterized by performing multiple functions. The development of an anterior eye-chamber model is used to showcase the issue.In a systematic literature review (SLR), state-of-the-art methodologies, methods and tools BID practice are discovered and the current state of multi-functionality in BID are assessed.The SLR revealed 18 contributions with 8 BID methodologies and 12 stage-specific BID tools (of which 50% addressed the solution search phase) in addition to 5 papers addressing multi-functionality in BID. At present multi-functionality in BID is only treated in a limited set of papers. While designers interested in BID are advised to discover multi-functional analogies, the present approach to handling multi-functional problems in BID suggest functional decomposition and multiple BID efforts. Therefore, the development of design support for handling multi-functional problems, including tools for problem analysis are needed.

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.

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.

Sign in / Sign up

Export Citation Format

Share Document