Results 131 to 140 of about 6,338 (277)
Quantum ensembling methods for healthcare and life science. [PDF]
Brief BioinformRhrissorrakrai K +7 more
europepmc +1 more source
LLM‐Integrated Human–Robot Interaction System for Microrobots
Advanced Robotics Research, EarlyView.This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley +1 more source
Error Mitigation Using Optimized Redundancy for Composite Algorithms in FPGAs
Error mitigation techniques have become mandatory in aerospace applications to cope with soft errors. Approximate error mitigation techniques are an attractive solution to reduce the overheads caused by conventional approaches, such as triple modular ...
García Astudillo, Luis Ángel +2 more
core +1 more source
Posterior-Contact Soft-ZUPT for Foot-Mounted Inertial Navigation: Uncertainty-Aware Pseudo-Observation Modeling. [PDF]
Sensors (Basel)Gao Y, Deng Z.
europepmc +1 more source
Modular, Textile‐Based Soft Robotic Grippers for Agricultural Produce Handling
Advanced Robotics Research, EarlyView.This article introduces textile‐based pneumatic grippers that transform simple textiles into robust bending actuators. Detailed experiments uncover how cut geometry and fabric selection shape performance. Successful handling of fragile agricultural items showcases the potential of textile robotics for safe, scalable automation in food processing and ...
Zeyu Hou +4 more
wiley +1 more source
Robust C-element design for soft-error mitigation
IEICE Electronics Express, 2015 I-Chyn Wey +4 more
openaire +2 more sources
Cross‐Scale Hierarchical Targeted Delivery System Based on Small‐Scale Magnetic Robots
Advanced Robotics Research, EarlyView.This article reviews a cross‐scale hierarchical targeted delivery system that integrates magnetic continuum robots and magnetic microrobots. By combining rapid long‐range navigation with precise microscale targeting, the system overcomes key limitations of single‐scale approaches.
Junjian Zhou +4 more
wiley +1 more source
Over the last two decades, Convolutional Neural Networks (CNNs) have become common in a wide variety of tasks, including safety-critical ones such as autonomous driving, leading to optimizations such as Sparse Convolutional Neural Networks (SparseCNNs ...
Steininger, Andreas; orcid: +2 more
core +1 more source
Revolutionizing nanosatellites' data integrity with SEEnet: A real-time ensemble learning approach for Single-Event Effect (SEE) prediction. [PDF]
PLoS OneKarim S +5 more
europepmc +1 more source
Advanced Robotics Research, EarlyView.This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source