ArticleCyborg and bionic systems (Washington, D.C.)2023
Movement Optimization for a Cyborg Cockroach in a Bounded Space Incorporating Machine Learning.
Article in Cyborg and bionic systems (Washington, D.C.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
18 citing papers in PubMed, 51 citations in OpenAlex.
- Article
- Construction, Control, and Application of Cyborg Animal Composed of Biological and Electromechanical Systems.Cyborg and bionic systems (Washington, D.C.) · 2026Review
- Bust Stimulation for Sustained Locomotion Control and Autonomous Navigation of Terrestrial Cyborg Beetles.Cyborg and bionic systems (Washington, D.C.) · 2026Article
- Cyborg insect factory: automatic assembly for insect-computer hybrid robot via vision-guided robotic arm manipulation of custom bipolar electrodes.Nature communications · 2025Article
- A Novel Exploration Stage Approach to Improve Crayfish Optimization Algorithm: Solution to Real-World Engineering Design Problems.Biomimetics (Basel, Switzerland) · 2025Article
- Classification of Indian classical dances using MnasNet architecture with advanced polar fox optimization for hyperparameter optimization.Scientific reports · 2025Article
- Fractal and chaotic map-enhanced grey wolf optimization for robust fire detection in deep convolutional neural networks.Scientific reports · 2025Article
- Employing artificial bee and ant colony optimization in machine learning techniques as a cognitive neuroscience tool.Scientific reports · 2025Article
- Method for reconstructing safety and arming motion process by integrating Kalman filter and KCF.Scientific reports · 2025Article
- Intelligent optimization method for hazardous materials transportation routing with multi-mode and multi-criterion collaborative constraints.Scientific reports · 2025Article
- Cloud-to-Thing continuum-based sports monitoring system using machine learning and deep learning model.PeerJ. Computer science · 2025Article
- Neural network-based symmetric encryption algorithm with encrypted traffic protocol identification.PeerJ. Computer science · 2025Article
- Research on sports activity behavior prediction based on electromyography signal collection and intelligent sensing channel.PeerJ. Computer science · 2025Article
- Cercus Electric Stimulation Enables Cockroach with Trajectory Control and Spatial Cognition Training.Cyborg and bionic systems (Washington, D.C.) · 2025Article
- Comparative Morphology of the Extrinsic and Intrinsic Leg Musculature in Dictyoptera (Insecta: Blattodea, Mantodea).Journal of morphology · 2024Article
- Article
- Feedback control of automatic navigation for cyborg cockroach without external motion capture system.Heliyon · 2024Article
- A Review of Energy Supply for Biomachine Hybrid Robots.Cyborg and bionic systems (Washington, D.C.) · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cockroaches can traverse unknown obstacle-terrain, self-right on the ground and climb above the obstacle. However, they have limited motion, such as less activity in light/bright areas and lower temperatures. Therefore, the movement of the cyborg cockroaches needs to be optimized for the utilization of the cockroach as a cyborg insect. This study aims to increase the search rate and distance traveled by cockroaches and reduce the stop time by utilizing automatic stimulation from machine learning. Multiple machine learning classifiers were applied to classify the offline binary classification of the cockroach movement based on the inertial measuring unit input signals. Ten time-domain features were chosen and applied as the classifier inputs. The highest performance of the classifiers was implemented for the online motion recognition and automatic stimulation provided to the cerci to trigger the free walking motion of the cockroach. A user interface was developed to run multiple computational processes simultaneously in real time such as computer vision, data acquisition, feature extraction, automatic stimulation, and machine learning using a multithreading algorithm. On the basis of the experiment results, we successfully demonstrated that the movement performance of cockroaches was importantly improved by applying machine learning classification and automatic stimulation. This system increased the search rate and traveled distance by 68% and 70%, respectively, while the stop time was reduced by 78%.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.