Results 71 to 80 of about 15,439 (264)
Toward an idiomatic framework for cognitive robotics. [PDF]
Patterns (N Y), 2022 Damgaard MR, Pedersen R, Bak T.
europepmc +1 more source
Advanced Robotics Research, EarlyView.Here, we present a textile, wearable capacitive interface enabling multidirectional remote control by dynamically modulating electrode overlap and spacing via a freely gliding upper electrode. A forearm‐mounted prototype drives robotic and media tasks with 12–15 ms latency, maintains < 0.8% drift after 500 cycles, and remains stably functional at 90 ...
Cagatay Gumus +8 more
wiley +1 more source
Grounding Context in Embodied Cognitive Robotics. [PDF]
Front Neurorobot, 2022 Valenzo D, Ciria A, Schillaci G, Lara B.
europepmc +1 more source
Towards Cognitive Robotics: Robotics, Biology and Developmental Psychology [PDF]
, 2012 In cognitive science, modelling has many useful roles, one of which is to inspire attempts to realise an artificially intelligent agent or autonomous robot. However, there still remains a large gulf between the behaviour produced by our best robotic efforts and the richness of behaviour, learning and adaptability so obviously manifest in living systems.
Lee, Mark +2 more
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From Lab to Landscape: Environmental Biohybrid Robotics for Ecological Futures
Advanced Robotics Research, EarlyView.This Perspective explores environmental biohybrid robotics, integrating living tissues, microorganisms, and insects for operation in real‐world ecosystems. It traces the leap from laboratory experiments to forests, wetlands, and urban environments and discusses key challenges, development pathways, and opportunities for ecological monitoring and ...
Miriam Filippi
wiley +1 more source
IEEE Transactions on Neural Systems and Rehabilitation EngineeringGait variability, the subtle fluctuations in walking patterns, is crucial for adaptation and motor learning. While existing methods to increase gait variability often rely on force-based perturbations, these can reduce motivation.
Alex van den Berg +3 more
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Medical robotics simulation framework for application-specific optimal kinematics
Current Directions in Biomedical Engineering, 2019 Most kinematic structures in robot architectures for medical tasks are not optimal. Further, the workspace and payloads are often oversized which results in high product prices that are not suitable for a clinical technology transfer.
Böttger Sven +3 more
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Multi‐Site Transfer Classification of Major Depressive Disorder: An fMRI Study in 3335 Subjects
Advanced Science, EarlyView.The study proposes graph convolution network with sparse pooling to learn the hierarchical features of brain graph for MDD classification. Experiment is done on multi‐site fMRI samples (3335 subjects, the largest functional dataset of MDD to date) and transfer learning is applied, achieving an average accuracy of 70.14%.
Jianpo Su +14 more
wiley +1 more source
Journal of Experimental & Theoretical Artificial Intelligence, 2016 Mehul Bhatt +3 more
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Active Touch Sensing for Robust Hole Detection in Assembly Tasks
SensorsIn this paper, we propose an active touch sensing algorithm designed for robust hole localization in 3D objects, specifically aimed at assembly tasks such as peg-in-hole operations. Unlike general object detection algorithms, our solution is tailored for
Bojan Nemec, Mihael Simonič, Aleš Ude
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