NeuroSLAM: a brain-inspired SLAM system for 3D environments
Sign Up to like & getrecommendations! Published in 2019 at "Biological Cybernetics"
DOI: 10.1007/s00422-019-00806-9
Abstract: Roboticists have long drawn inspiration from nature to develop navigation and simultaneous localization and mapping (SLAM) systems such as RatSLAM. Animals such as birds and bats possess superlative navigation capabilities, robustly navigating over large, three-dimensional… read more here.
Keywords: slam system; brain inspired; system; neuroslam brain ... See more keywords
Flexibly Photo-Regulated Brain-Inspired Functions in Flexible Neuromorphic Transistors.
Sign Up to like & getrecommendations! Published in 2023 at "ACS applied materials & interfaces"
DOI: 10.1021/acsami.2c22754
Abstract: As an attractive prototype for neuromorphic computing, the difficultly attained three-terminal platforms have specific advantages in implementing the brain-inspired functions. Also, in these devices, the most utilized mechanisms are confined to the electrical gate-controlled ionic… read more here.
Keywords: platform; photo regulated; inspired functions; brain ... See more keywords
An organic approach to low energy memory and brain inspired electronics
Sign Up to like & getrecommendations! Published in 2020 at "Applied physics reviews"
DOI: 10.1063/1.5124155
Abstract: Brain inspired electronics with organic memristors could offer a functionally promising and cost-effective platform for flexible, wearable, and personalized computing technologies. While there are different material approaches (viz. oxides, nitrides, 2D, organic) to realize memristors,… read more here.
Keywords: brain inspired; energy; inspired electronics; memory ... See more keywords
Brain-inspired ferroelectric Si nanowire synaptic device
Sign Up to like & getrecommendations! Published in 2021 at "APL Materials"
DOI: 10.1063/5.0035220
Abstract: We herein demonstrate a brain-inspired synaptic device using a poly(vinylidene fluoride) and trifluoroethylene (PVDF-TrFE)/silicon nanowire (Si NW) based ferroelectric field effect transistor (FeFET). The PVDF-TrFE/Si NW FeFET structure achieves reliable synaptic plasticity such as symmetrical… read more here.
Keywords: brain inspired; synaptic device; nanowire; pvdf trfe ... See more keywords
A Brain-Inspired Multi-Modal Perceptual System for Social Robots: An Experimental Realization
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2851841
Abstract: We propose a multi-modal perceptual system that is inspired by the inner working of the human brain; in particular, the hierarchical structure of the sensory cortex and the spatial-temporal binding criteria. The system is context… read more here.
Keywords: brain inspired; system; modal perceptual; multi modal ... See more keywords
A Brain-Inspired In-Memory Computing System for Neuronal Communication via Memristive Circuits
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Communications Magazine"
DOI: 10.1109/mcom.001.21664
Abstract: Brain-inspired approaches can efficiently analyze the activities of biological neural networks and solve computationally hard problems with energy efficiencies unattainable with von Neumann architectures, indicating a significant improvement in the understanding of neuronal communications and… read more here.
Keywords: system; multimodal signal; communication; brain ... See more keywords
Building Brain-Inspired Computing Systems: Examining the Role of Nanoscale Devices
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Nanotechnology Magazine"
DOI: 10.1109/mnano.2018.2845078
Abstract: Brain-inspired computing is attracting considerable attention because of its potential to solve a wide variety of data-intensive problems that are difficult for even state-of-the-art supercomputers to tackle. The ability of the human brain to process… read more here.
Keywords: brain inspired; computing systems; systems examining; building brain ... See more keywords
A Brain-Inspired Visual Fear Responses Model for UAV Emergent Obstacle Dodging
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Cognitive and Developmental Systems"
DOI: 10.1109/tcds.2019.2939024
Abstract: Dodging emergent dangers is an innate cognitive ability for animals, which helps them to survive in the natural environment. The retina-superior colliculus (SC)-pulvinar–amygdala–periaqueductal gray pathway is responsible for the visual fear responses, and it is… read more here.
Keywords: fear; visual fear; model; fear responses ... See more keywords
A Hybrid Loop Closure Detection Method Based on Brain-Inspired Models
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Cognitive and Developmental Systems"
DOI: 10.1109/tcds.2022.3152910
Abstract: Various hippocampal-entorhinal-based models are used to construct brain-inspired simultaneous localization and mapping (SLAM) systems. Loop closure detection (LCD) is a critical process of SLAM systems for robots to relocalize themselves and correct accumulative errors. The… read more here.
Keywords: loop closure; closure detection; method; brain inspired ... See more keywords
A Survey of Brain-Inspired Intelligent Robots: Integration of Vision, Decision, Motion Control, and Musculoskeletal Systems.
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2021.3071312
Abstract: Current robotic studies are focused on the performance of specific tasks. However, such tasks cannot be generalized, and some special tasks, such as compliant and precise manipulation, fast and flexible response, and deep collaboration between… read more here.
Keywords: intelligent robots; inspired intelligent; motion control; brain inspired ... See more keywords
A Brain-Inspired Approach for Probabilistic Estimation and Efficient Planning in Precision Physical Interaction.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2022.3164750
Abstract: This article presents a novel structure of spiking neural networks (SNNs) to simulate the joint function of multiple brain regions in handling precision physical interactions. This task desires efficient movement planning while considering contact prediction… read more here.
Keywords: interaction; precision physical; brain; prediction ... See more keywords