Compact FPGA-based software correlator for real-time blood flow measurement with diffuse correlation spectroscopy. [PDF]
Mai VK +4 more
europepmc +1 more source
On‐Chip Photonic Neural Network Architectures
This review presents a comprehensive overview of on‐chip photonic neural network architectures, covering key photonic building blocks, representative network types, and emerging applications. Recent advances, implementation challenges, and future directions are examined, highlighting the potential of integrated photonics to enable ultrafast, energy ...
Seokjin Hong +7 more
wiley +1 more source
An Imaging System with Robust Spot Detection for Space Laser Communication ATP Systems. [PDF]
Liu Z, Yan Q, Li Z, An J.
europepmc +1 more source
Massively Degenerate Coherent Perfect Absorption in Gradient‐Index Fibers
A coherent perfect absorber (CPA) normally operates for only one or very few spatial modes. The CPA proposed here uses a gradient‐index (GRIN) fiber to absorb hundreds of spatial modes at once, its self‐imaging property replacing the bulky free‐space degenerate cavity of earlier designs. An analytic criterion sets how much modal degeneracy is required,
Helmut Hörner +2 more
wiley +1 more source
Standardization of body weight distribution using a Force-Sensitive Resistor (FSR) matrix and foot analytics. [PDF]
Hussain T +4 more
europepmc +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
Low-cost head-mounted camera system for medication-error detection. [PDF]
Nsumba S +5 more
europepmc +1 more source
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat +4 more
wiley +1 more source
Task-Specific Detector Adaptation for Edge MOT: Tracking and Deployment Trade-Offs on the NVIDIA Jetson Nano. [PDF]
Guterres BV +5 more
europepmc +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

