Results 41 to 50 of about 189,301 (337)

Embodied Evolution in Collective Robotics: A Review [PDF]

, 2018
This paper provides an overview of evolutionary robotics techniques applied to on-line distributed evolution for robot collectives -- namely, embodied evolution.
Alba, Alba, Amato, Anderson, Aplin, Arthur, Axelrod, Bangel, Barrett, Bayindir, Bedau, Bellingham, Beni, Bentham, Bernard, Bernstein, Bianco, Blount, Bongard, Bongard, Boumaza, Brambilla, Bredeche, Bredeche, Bredeche, Bredeche, Bredeche, Brodbeck, Camazine, Charlesworth, Christensen, Cully, Deutsch, Dibangoye, Doncieux, Eiben, Eiben, Eiben, Eiben, Fernandez Pérez, Fernandez Pérez, Fernandez Pérez, Ferrante, Ficici, Floreano, García-Sánchez, Gauci, Geritz, Good, Haasdijk, Haasdijk, Haasdijk, Haasdijk, Haasdijk, Haasdijk, Haasdijk, Hardin, Hart, Hauert, Heinerman, Heinerman, Hettiarachchi, Hettiarachchi, Huijsman, Jakobi, Karafotias, Kemeling, König, König, Lehman, Long, Maynard Smith, Mitri, Montanier, Montanier, Montanier, Moor, Mouret, Mouret, Nelson, Nolfi, Nordin, Noskov, Nouyan, O’Dowd, Parker, Perez, Pfeifer, Prieto, Prieto, Prieto, Prieto, Pugh, Ray, Rubenstein, Schut, Schwarzer, Schwarzer, Shapley, Silva, Silva, Silva, Silva, Silva, Simões, Soros, Stanley, Steyven, Stone, Stone, Stone, Taylor, Thrun, Tonelli, Trianni, Trueba, Trueba, Trueba, Trueba, Urzelai, Usui, Vanderelst, Waibel, Wakeley, Walker, Watson, Weel, Weel, Werfel, West, Wischmann, Wiser, Wolpert   +132 more
core   +6 more sources

Deep Learning–Assisted Differentiation of Four Peripheral Neuropathies Using Corneal Confocal Microscopy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah, Ioannis N. Petropoulos, Mark Stettner, Maryam Ferdousi, Uazman Alam, Nathan Efron, Ahmed Serag, Rayaz A. Malik   +7 more
wiley   +1 more source

Avoidance of specific calibration sessions in motor intention recognition for exoskeleton-supported rehabilitation through transfer learning on EEG data

Scientific Reports
Exoskeleton-based support for patients requires the learning of individual machine-learning models to recognize movement intentions of patients based on the electroencephalogram (EEG). A major issue in EEG-based movement intention recognition is the long
Niklas Kueper, Su Kyoung Kim, Elsa Andrea Kirchner   +2 more
doaj   +1 more source

Exploring Modeling Techniques for Soft Arms: A Survey on Numerical, Analytical, and Data-Driven Approaches

Biomimetics
Soft arms, characterized by their compliance and adaptability, have gained significant attention in applications ranging from industrial automation to biomedical fields.
Shengkai Liu, Hongfei Yu, Ning Ding, Xuchun He, Hengli Liu, Jun Zhang   +5 more
doaj   +1 more source

Development of a Prediction Model for Progression Risk in High‐Grade Gliomas Based on Habitat Radiomics and Pathomics

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To investigate the value of constructing models based on habitat radiomics and pathomics for predicting the risk of progression in high‐grade gliomas. Methods This study conducted a retrospective analysis of preoperative magnetic resonance (MR) images and pathological sections from 72 patients diagnosed with high‐grade gliomas (52 ...
Yuchen Zhu, Yuxi Gong, Weilin Xu, Xingjian Sun, Gefei Jiang, Lei Qiu, Kexin Shi, Mengxing Wu, Yinjiao Fei, Jinling Yuan, Jinyan Luo, Yurong Li, Yuandong Cao, Minhong Pan, Shu Zhou   +14 more
wiley   +1 more source

Prediction-Based Tip-Over Prevention for Planetary Exploration Rovers

Engineering Proceedings
This study presents a deep learning-based prediction system with an elevated approach to prevent tip-over incidents on planetary exploration rovers, enhancing their operational safety and reliability.
Siddhant Shete, Raúl Domínguez, Ravisankar Selvaraju, Mariela De Lucas Álvarez, Frank Kirchner   +4 more
doaj   +1 more source

Exoskeleton Technology in Rehabilitation: Towards an EMG-Based Orthosis System for Upper Limb Neuromotor Rehabilitation

Journal of Robotics, 2013
The rehabilitation of patients should not only be limited to the first phases during intense hospital care but also support and therapy should be guaranteed in later stages, especially during daily life activities if the patient’s state requires this ...
Luis Manuel Vaca Benitez, Marc Tabie, Niels Will, Steffen Schmidt, Mathias Jordan, Elsa Andrea Kirchner   +5 more
doaj   +1 more source

Statics of Continuum Space Manipulators With Nonconstant Curvature via Pseudorigid-Body 3R Model

IEEE Access, 2018
Continuum space manipulators have wide application prospect in the complex space environment with small space. Efficient and accurate static models are very important for continuum manipulators.
Shaoping Huang, Deshan Meng, Yu She, Xueqian Wang, Bin Liang, Bo Yuan   +5 more
doaj   +1 more source

Toward “On‐Demand” Materials Synthesis and Scientific Discovery through Intelligent Robots

Advanced Science, 2020
A Materials Acceleration Operation System (MAOS) is designed, with unique language and compiler architecture. MAOS integrates with virtual reality (VR), collaborative robots, and a reinforcement learning (RL) scheme for autonomous materials synthesis ...
Jiagen Li, Yuxiao Tu, Rulin Liu, Yihua Lu, Xi Zhu   +4 more
doaj   +1 more source

Induced Magnetic Field-Based Indoor Positioning System for Underwater Environments

Sensors, 2021
Autonomous underwater vehicles (AUV) are seen as an emerging technology for maritime exploration but are still restricted by the availability of short range, accurate positioning methods necessary, e.g., when docking remote assets.
Sizhen Bian, Peter Hevesi, Leif Christensen, Paul Lukowicz   +3 more
doaj   +1 more source