scholarly journals Evolving Robust Supervisors for Robot Swarms in Uncertain Complex Environments

2022 ◽  
pp. 120-133
Author(s):  
Elliott Hogg ◽  
David Harvey ◽  
Sabine Hauert ◽  
Arthur Richards
Keyword(s):  
Complex Environments ◽  
Robot Swarms

Neuromuscular Control of Movement

2018 ◽  
Keyword(s):  
Nervous System ◽  
Sensory Information ◽  
Neuromuscular Control ◽  
Complex Environments ◽  
Locomotor Rhythm ◽  
Motor Responses ◽  
Reflex Pathways ◽  
Local Reflex ◽  
Local Circuits ◽  
And Control

The control of movement is essential for animals traversing complex environments and operating across a range of speeds and gaits. We consider how animals process sensory information and initiate motor responses, primarily focusing on simple motor responses that involve local reflex pathways of feedback and control, rather than the more complex, longer-term responses that require the broader integration of higher centers within the nervous system. We explore how local circuits facilitate decentralized coordination of locomotor rhythm and examine the fundamentals of sensory receptors located in the muscles, tendons, joints, and at the animal’s body surface. These sensors monitor the animal’s physical environment and the action of its muscles. The sensory information is then carried back to the animal’s nervous system by afferent neurons, providing feedback that is integrated at the level of the spinal cord of vertebrates and sensory-motor ganglia of invertebrates.

scholarly journals A Minimalistic Approach to Segregation in Robot Swarms

2019 ◽  
Author(s):  
Peter Mitrano ◽  
Jordan Burklund ◽  
Michael Giancola ◽  
Carlo Pinciroli
Keyword(s):  
Robot Swarms

scholarly journals Using Lock-In Thermography to Investigate Stimuli-Responsive Nanoparticles in Complex Environments

2021 ◽  
Vol 24 (4) ◽  
pp. 3-10
Author(s):  
Mathias Bonmarin ◽  
Lukas Steinmetz ◽  
Fabrizio Spano ◽  
Christoph Geers
Keyword(s):  
Stimuli Responsive ◽  
Complex Environments ◽  
Lock In

scholarly journals Optical coherence encryption with structured random light

PhotoniX ◽  
2021 ◽  
Vol 2 (1) ◽  
Author(s):  
Deming Peng ◽  
Zhaofeng Huang ◽  
Yonglei Liu ◽  
Yahong Chen ◽  
Fei Wang ◽  
...  
Keyword(s):  
Fractional Fourier Transform ◽  
Spatial Coherence ◽  
Second Order ◽  
Statistical Characteristics ◽  
Interference Effects ◽  
Complex Environments ◽  
Optical Encryption ◽  
Light Matter Interaction ◽  
Encryption Method ◽  
Promising Avenue

AbstractInformation encryption with optical technologies has become increasingly important due to remarkable multidimensional capabilities of light fields. However, the optical encryption protocols proposed to date have been primarily based on the first-order field characteristics, which are strongly affected by interference effects and make the systems become quite unstable during light–matter interaction. Here, we introduce an alternative optical encryption protocol whereby the information is encoded into the second-order spatial coherence distribution of a structured random light beam via a generalized van Cittert–Zernike theorem. We show that the proposed approach has two key advantages over its conventional counterparts. First, the complexity of measuring the spatial coherence distribution of light enhances the encryption protocol security. Second, the relative insensitivity of the second-order statistical characteristics of light to environmental noise makes the protocol robust against the environmental fluctuations, e.g, the atmospheric turbulence. We carry out experiments to demonstrate the feasibility of the coherence-based encryption method with the aid of a fractional Fourier transform. Our results open up a promising avenue for further research into optical encryption in complex environments.

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