Biologically inspired, haltere, angular-rate sensors for micro-autonomous systems

2012 ◽  
Author(s):  
G. L. Smith ◽  
S. S. Bedair ◽  
B. E. Schuster ◽  
W. D. Nothwang ◽  
J. S. Pulskamp ◽  
...  
Keyword(s):  
Angular Rate ◽  
Autonomous Systems ◽  
Biologically Inspired

scholarly journals Self-Corrective Autonomous Systems using Optimization Processes for Detection and Correction of Unexpected Error Conditions

2016 ◽  
Vol 5 (4) ◽  
pp. 262
Author(s):  
Nicoladie D. Tam
Keyword(s):  
Autonomous Systems ◽  
Corrective Feedback ◽  
Biological Evolution ◽  
Optimization Process ◽  
Feedback Systems ◽  
Biologically Inspired ◽  
External Assistance ◽  
Actual Outcome ◽  
Disparity Vector ◽  
Corrective Actions

<p>A theoretical framework for autonomous self-detection and self-correction of unexpected error conditions is derived by incorporating the principles of operation in autonomous control in biological evolution.  Using the biologically inspired principles, the time-dependent multi-dimensional disparity vector is used as a quantitative metric for detecting unexpected and unforeseeable error conditions without any external assistance.  The disparity vector is a measure of the discrepancy between the expected outcome predicted by the autonomous system and the actual outcome in the real world.  It is used as a measure to detect any unexpected or unforeseeable errors.  The process for autonomous self-correction of the self-discovered errors is an optimization process to minimize the errors represented by the disparity vectors.  The strategies for prioritizing the urgency of corrective actions are also provided in the theoretical derivations.  The criteria for any change in direction of the corrective actions are also provided quantitatively.  The criteria for the detection of the minimization and maximization of errors are also provided in the autonomous optimization process.  The biological correspondences of the emotional responses in relation to the autonomic self-corrective feedback systems are also provided.</p>

Biologically inspired electrostatic artificial muscles for insect-sized robots

2021 ◽  
pp. 027836492110025
Author(s):  
Hongqiang Wang ◽  
Peter York ◽  
Yufeng Chen ◽  
Sheila Russo ◽  
Tommaso Ranzani ◽  
...  
Keyword(s):  
Autonomous Systems ◽  
Spatial Arrangement ◽  
Artificial Muscles ◽  
Biologically Inspired ◽  
Confined Spaces ◽  
Wearable Robots ◽  
Surgical Tool ◽  
Wide Range ◽  
Inspection Tasks ◽  
Robotic Applications

Millimeter-sized electrostatic film actuators, inspired by the efficient spatial arrangement of insect muscles, achieve a muscle-like power density (61 W kg−1) and enable robotic applications in which agility is needed in confined spaces. Like biological muscles, these actuators incorporate a hierarchical structure, in this case building from electrodes to arrays to laminates, and are composed primarily of flexible materials. So comprised, these actuators can be designed for a wide range of manipulation and locomotion tasks, similar to natural muscle, while being robust and compact. A typical actuator can achieve 85 mN of force with a 15 mm stroke, with a size of [Formula: see text] mm3 and mass of 92 mg. Two millimeter-sized robots, an ultra-thin earthworm-inspired robot and an intestinal-muscle-inspired endoscopic tool for tissue resection, demonstrate the utility of these actuators. The earthworm robot undertakes inspection tasks: the navigation of a 5 mm channel and a 19 mm square tube while carrying an on-board camera. The surgical tool, which conforms to the surface of the distal end of an endoscope, similar to the thin, smooth muscle that covers the intestine, completes tissue cutting and penetrating tasks. Beyond these devices, we anticipate widespread use of these actuators in soft robots, medical robots, wearable robots, and miniature autonomous systems.

THE CONCEPT OF AUTONOMOUS SYSTEMS IN INDUSTRY 4.0

2019 ◽  
Vol 12 (1) ◽  
pp. 77-87
Author(s):  
György Kovács ◽  
Rabab Benotsmane ◽  
László Dudás
Keyword(s):  
Industry 4.0 ◽  
Intelligent Systems ◽  
Autonomous Systems ◽  
Essential Element ◽  
Industrial Sector ◽  
Life Cycles ◽  
Multi Agent Systems ◽  
New Paradigm ◽  
Intelligent Machines ◽  
Digital Network

Recent tendencies – such as the life-cycles of products are shorter while consumers require more complex and more unique final products – poses many challenges to the production. The industrial sector is going through a paradigm shift. The traditional centrally controlled production processes will be replaced by decentralized control, which is built on the self-regulating ability of intelligent machines, products and workpieces that communicate with each other continuously. This new paradigm known as Industry 4.0. This conception is the introduction of digital network-linked intelligent systems, in which machines and products will communicate to one another in order to establish smart factories in which self-regulating production will be established. In this article, at first the essence, main goals and basic elements of Industry 4.0 conception is described. After it the autonomous systems are introduced which are based on multi agent systems. These systems include the collaborating robots via artificial intelligence which is an essential element of Industry 4.0.

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