AIMC Topic: Insecta

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Pruning deep neural networks generates a sparse, bio-inspired nonlinear controller for insect flight.

PLoS computational biology Sep 27, 2022
Insect flight is a strongly nonlinear and actuated dynamical system. As such, strategies for understanding its control have typically relied on either model-based methods or linearizations thereof. Here we develop a framework that combines model pred...
Animals Insecta Neural Networks, Computer
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Insect-inspired AI for autonomous robots.

Science robotics Jun 15, 2022
Autonomous robots are expected to perform a wide range of sophisticated tasks in complex, unknown environments. However, available onboard computing capabilities and algorithms represent a considerable obstacle to reaching higher levels of autonomy, ...
Animals Robotics Artificial Intelligence Algorithms Insecta
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Sideways crab-walking is faster and more efficient than forward walking for a hexapod robot.

Bioinspiration & biomimetics May 11, 2022
Articulated legs enable the selection of robot gaits, including walking in different directions such as forward or sideways. For longer distances, the best gaits might maximize velocity or minimize the cost of transport (COT). While animals often hav...
Robotics Animals Gait Walking Brachyura Insecta
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Locomotion Control With Frequency and Motor Pattern Adaptations.

Frontiers in neural circuits Nov 25, 2021
Existing adaptive locomotion control mechanisms for legged robots are usually aimed at one specific type of adaptation and rarely combined with others. Adaptive mechanisms thus stay at a conceptual level without their coupling effect with other mecha...
Animals Robotics Walking Insecta Locomotion Adaptation, Physiological
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Insect-Inspired Robots: Bridging Biological and Artificial Systems.

Sensors (Basel, Switzerland) Nov 16, 2021
This review article aims to address common research questions in hexapod robotics. How can we build intelligent autonomous hexapod robots that can exploit their biomechanics, morphology, and computational systems, to achieve autonomy, adaptability, a...
Robotics Insecta Biomechanical Phenomena Animals Locomotion
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A multi-motion bionic soft hexapod robot driven by self-sensing controlled twisted artificial muscles.

Bioinspiration & biomimetics Jun 18, 2021
Artificial muscles have unique advantages for driving bionic robots because their driving mode is similar to biological muscles. However, there is still a big gap between the existing artificial muscle and biological muscle in performance. The twiste...
Insecta Muscles Bionics Robotics Equipment Design Animals
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Printed miniature robotic actuators with curvature-induced stiffness control inspired by the insect wing.

Bioinspiration & biomimetics Jun 17, 2021
Stimuli-responsive actuating materials offer a promising way to power insect-scale robots, but a vast majority of these material systems are too soft for load bearing in different applications. While strategies for active stiffness control have been ...
Muscles Wings, Animal Robotics Insecta Animals
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An Automated Light Trap to Monitor Moths (Lepidoptera) Using Computer Vision-Based Tracking and Deep Learning.

Sensors (Basel, Switzerland) Jan 6, 2021
Insect monitoring methods are typically very time-consuming and involve substantial investment in species identification following manual trapping in the field. Insect traps are often only serviced weekly, resulting in low temporal resolution of the ...
Animals Neural Networks, Computer Deep Learning Insecta Computers Moths
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A bioinspired angular velocity decoding neural network model for visually guided flights.

Neural networks : the official journal of the International Neural Network Society Dec 28, 2020
Efficient and robust motion perception systems are important pre-requisites for achieving visually guided flights in future micro air vehicles. As a source of inspiration, the visual neural networks of flying insects such as honeybee and Drosophila p...
Neurons Visual Pathways Motion Perception Insecta Neural Networks, Computer Bees Animals Flight, Animal Virtual Reality
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Integrated analysis of machine learning and deep learning in chili pest and disease identification.

Journal of the science of food and agriculture Dec 24, 2020
BACKGROUND: Chili is one of the most important and high-value vegetable crops worldwide. However, pest and disease infections are among the main limiting factors in chili cultivation. These diseases cannot be eradicated but can be handled and monitor...
Plant Diseases Capsicum Machine Learning Insecta Support Vector Machine Plant Leaves Animals Deep Learning
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