AIMC Topic: Grasshoppers

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A bio-inspired visual collision detection network integrated with dynamic temporal variance feedback regulated by scalable functional countering jitter streaming.

Neural networks : the official journal of the International Neural Network Society Nov 8, 2024
In pursuing artificial intelligence for efficient collision avoidance in robots, researchers draw inspiration from the locust's visual looming-sensitive neural circuit to establish an efficient neural network for collision detection. However, existin...
Neural Networks, Computer Artificial Intelligence Feedback Neurons Visual Perception Grasshoppers Animals Robotics
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Multiple forces facilitate the aquatic acrobatics of grasshopper and bioinspired robot.

Proceedings of the National Academy of Sciences of the United States of America Mar 25, 2024
Aquatic locomotion is challenging for land-dwelling creatures because of the high degree of fluidity with which the water yields to loads. We surprisingly found that the Chinese rice grasshopper , known for its terrestrial acrobatics, could swiftly l...
Locomotion Biomechanical Phenomena Grasshoppers Animals Water Robotics Insecta
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Ear-Bot: Locust Ear-on-a-Chip Bio-Hybrid Platform.

Sensors (Basel, Switzerland) Jan 1, 2021
During hundreds of millions of years of evolution, insects have evolved some of the most efficient and robust sensing organs, often far more sensitive than their man-made equivalents. In this study, we demonstrate a hybrid bio-technological approach,...
Animals Lab-On-A-Chip Devices Robotics Ear, Middle Sound Grasshoppers
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A Robust Collision Perception Visual Neural Network With Specific Selectivity to Darker Objects.

IEEE transactions on cybernetics Dec 3, 2020
Building an efficient and reliable collision perception visual system is a challenging problem for future robots and autonomous vehicles. The biological visual neural networks, which have evolved over millions of years in nature and are working perfe...
Models, Neurological Robotics Neurons Computer Simulation Animals Grasshoppers Visual Pathways Spatial Navigation Contrast Sensitivity Neural Networks, Computer
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DeepPoseKit, a software toolkit for fast and robust animal pose estimation using deep learning.

eLife Oct 1, 2019
Quantitative behavioral measurements are important for answering questions across scientific disciplines-from neuroscience to ecology. State-of-the-art deep-learning methods offer major advances in data quality and detail by allowing researchers to a...
Locomotion Drosophila melanogaster Equidae Grasshoppers Computational Biology Behavior, Animal Animals Deep Learning Software Algorithms
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Self-supervised learning of the biologically-inspired obstacle avoidance of hexapod walking robot.

Bioinspiration & biomimetics May 3, 2019
In this paper, we propose an integrated biologically inspired visual collision avoidance approach that is deployed on a real hexapod walking robot. The proposed approach is based on the Lobula giant movement detector (LGMD), a neural network for loom...
Behavior, Animal Avoidance Learning Robotics Walking Neural Networks, Computer Grasshoppers Supervised Machine Learning Animals
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Design and demonstration of a bio-inspired flapping-wing-assisted jumping robot.

Bioinspiration & biomimetics Mar 13, 2019
Jumping insects such as fleas, froghoppers, grasshoppers, and locusts take off from the ground using a catapult mechanism to push their legs against the surface of the ground while using their pairs of flapping wings to propel them into the air. Such...
Models, Biological Biomimetic Materials Wings, Animal Animals Grasshoppers Robotics Flight, Animal Equipment Design
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Morphological intelligence counters foot slipping in the desert locust and dynamic robots.

Proceedings of the National Academy of Sciences of the United States of America Aug 22, 2018
During dynamic terrestrial locomotion, animals use complex multifunctional feet to extract friction from the environment. However, whether roboticists assume sufficient surface friction for locomotion or actively compensate for slipping, they use rel...
Robotics Grasshoppers Biomechanical Phenomena Animals
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Shaping the collision selectivity in a looming sensitive neuron model with parallel ON and OFF pathways and spike frequency adaptation.

Neural networks : the official journal of the International Neural Network Society Apr 16, 2018
Shaping the collision selectivity in vision-based artificial collision-detecting systems is still an open challenge. This paper presents a novel neuron model of a locust looming detector, i.e. the lobula giant movement detector (LGMD1), in order to p...
Neurons Neural Networks, Computer Vision, Ocular Animals Photic Stimulation Models, Neurological Grasshoppers Action Potentials Adaptation, Physiological Motion Perception
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Jump stabilization and landing control by wing-spreading of a locust-inspired jumper.

Bioinspiration & biomimetics Oct 16, 2017
Bio-inspired robotics is a promising design strategy for mobile robots. Jumping is an energy efficient locomotion gait for traversing difficult terrain. Inspired by the jumping and flying behavior of the desert locust, we have recently developed a mi...
Flight, Animal Wings, Animal Grasshoppers Robotics Biomimetics Biomechanical Phenomena Animals
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