AIMC Topic: Insecta

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Accommodating unobservability to control flight attitude with optic flow.

Nature Oct 19, 2022
Attitude control is an essential flight capability. Whereas flying robots commonly rely on accelerometers for estimating attitude, flying insects lack an unambiguous sense of gravity. Despite the established role of several sense organs in attitude s...
Animals Robotics Biomechanical Phenomena Optic Flow Biomimetic Materials Accelerometry Flight, Animal Wings, Animal Biomimetics Insecta Models, Biological Motion
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Active tactile sensing of small insect force by a soft microfinger toward microfinger-insect interactions.

Scientific reports Oct 10, 2022
Human-robot interaction technology has contributed to improving sociality for humanoid robots. At scales far from human scales, a microrobot can interact with an environment in a small world. Microsensors have been applied to measurement of forces by...
Animals Robotics Humans Touch Touch Perception Insecta Mechanical Phenomena
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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...
Neural Networks, Computer Animals Insecta
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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, ...
Robotics Insecta Artificial Intelligence Algorithms Animals
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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...
Insecta Walking Gait Robotics Animals Brachyura
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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...
Insecta Locomotion Robotics Adaptation, Physiological Walking Animals
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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...
Insecta Animals Locomotion Biomechanical Phenomena Robotics
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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...
Muscles Robotics Animals Insecta Equipment Design Bionics
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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 ...
Animals Robotics Insecta Muscles Wings, Animal
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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 ...
Deep Learning Insecta Neural Networks, Computer Moths Computers Animals
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