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    Bio-inspired tagged posts

    Nature-inspired navigation system helps robots traverse complex environments without GPS

    November 17, 2025, Categories  Physics, Technology/Electronics

    A bio-inspired system could enhance robot navigation in real-world environments
    Performance of the insect-inspired navigation component. The graph shows the AntBot- inspired Spiking Neural Network (red) maintaining a significantly lower positional drift over time compared to conventional Visual-Inertial Odometry (blue) in a challenging desert environment. Credit: (2025). DOI: 10.2139/ssrn.5674916

    Robots could soon be able to autonomously complete search and rescue missions, inspections, complex maintenance operations and various other real-world tasks. To do this, however, they should be able to smoothly navigate unknown and complex environments without breaking down or getting stuck, which would require human intervention.

    Most autonomous navigation systems rely on global positioning systems (GPS), which can provide information about where a robot is located ...

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    A Bio-inspired Mechano-Photonic Artificial Synapse

    March 29, 2021, Categories  Biology/Biotechnology, Health/Medical, Physics

    A bioinspired mechano-photonic artificial synapse
    Biological tactile/visual neurons and mechano-photonic artificial synapse. (A) Schematic illustrations of biological tactile/visual sensory system. (B) Schematic diagram of the mechano-photonic artificial synapse based on graphene/MoS2 (Gr/MoS2) heterostructure. (i) Top-view scanning electron microscope (SEM) image of the optoelectronic transistor; scale bar, 5 μm. The cyan area indicates the MoS2 flake, while the white strip is graphene. (ii) Illustration of charge transfer/exchange for Gr/MoS2 heterostructure. (iii) Output mechano-photonic signals from the artificial synapse for image recognition. Credit: Science Advances, doi: 10.1126/sciadv.abd9117

    Multifunctional and diverse artificial neural systems can incorporate multimodal plasticity, memory and supervised learning functions ...

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