Results 41 to 50 of about 802,961 (243)
Optically pumped magnetometers are employed to contactlessly map the spatiotemporal dynamics of the magnetic field linked to electrical activity of a skeletal muscle in vivo. It is demonstrated that localization of the clinically relevant innervation zone is feasible using this non‐invasive magnetic measurement modality. ABSTRACT Magnetomyography (MMG)
Simon Nordenström +12 more
wiley +1 more source
The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley +1 more source
Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley +1 more source
Federated Learning-Driven IoT Request Scheduling for Fault Tolerance in Cloud Data Centers
Cloud computing is a virtualized and distributed computing model that provides resources and services based on demand and self-service. Resource failure is one of the major challenges in cloud computing, and there is a need for fault tolerance mechanisms.
Sheeja Rani S, Raafat Aburukba
doaj +1 more source
Pak Biawak, a necrobot, embodies an unusual fusion of biology and robotics. Designed to repurpose natural structures after death, it challenges conventional boundaries between nature and engineering. Its movements are precise yet unsettling, raising questions about sustainability, ethics, and the untapped potential of biointegrated machines.
Leo Foulds +2 more
wiley +1 more source
Design and Implementation of Cloud Radio Access Network (C-RAN) using OMNET++ Platform
For fast data rates, commercial 5G wireless communication systems are in use. However, for 5G, the challenge lies in the expansive use of smart devices and the need for ultra-reliable and low-latency communication in Internet of Everything (IoE ...
Sura Fawzi Ismail , Dheyaa Jasim Kadhim
doaj +1 more source
Massive MIMO Pilot Scheduling over Cloud RAN [PDF]
Cloud-RAN (C-RAN) is a promising paradigm for the next generation radio access network infrastructure, which offers centralized and coordinated base-band signal processing. On the other hand, this requires extremely low latency fronthaul links to achieve
Fitzgerald, Emma +3 more
core
Multilevel Embedding and Dropout for Improved 3D Object Detection in Autonomous Driving Systems
A plug‐in framework for RoI‐based 3D object detectors exploits previously untapped multi‐level information within RoI features. Its novel multi‐level embedding and dropout strategy enables the detection head to generate predictions at different feature levels.
Xiaohu Lu, Hayder Radha
wiley +1 more source
Distributed Learning Assisted Fronthaul Compression for Multi-Antenna C-RAN
This paper investigates the uplink reception in the cloud radio access network (C-RAN), sometimes called centralized-RAN. C-RAN is an architecture for cellular networks which consists of many remote radio units (RRUs) connected to a central processor (CP)
Aymen Askri +2 more
doaj +1 more source
Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki +2 more
wiley +1 more source

