Results 51 to 60 of about 3,670,660 (210)

Graph-based pattern recognition on spectral reduced graphs

, 2023
Institute of Computer Science, Pattern Recognition Group ...
Riesen, Kaspar, Gillioz, Anthony Daniel Francis   +1 more
core   +1 more source

Extrinsic Limitations of Stealthy Hyperuniform Devices

Advanced Optical Materials, EarlyView.
Stealthy hyperuniform devices exhibit a scattering‐free angular region whose extent follows a simple quenching equation. Experimental measurements confirm this prediction but reveal quenching efficiencies far below theoretical expectations. Multiple scattering and finite‐size effects are quantified, establishing realistic performance limits for ...
Yuhao Xu, Miao Chen, Louis Forestier, Franck Carcenac, Laurent Mazenq, Philippe Lalanne   +5 more
wiley   +1 more source

Mid-level Deep Pattern Mining∗

, 2015
Mid-level visual element discovery aims to find clusters of image patches that are both representative and discrimi-native. In this work, we study this problem from the prospec-tive of pattern mining while relying on the recently popular-ized ...
Anton Van Den Hengel, Lingqiao Liu, Van Den Hengel, A., Liu, L., Shen, C., Chunhua Shen, Li, Y., Yao Li   +7 more
core   +1 more source

Auto‐Routing Fluidic Printed Circuit Boards

Advanced Robotics Research, EarlyView.
This work introduces (STREAM) software tool for routing efficiently advanced macrofluidics, an open‐source software tool for automating the design of 3D‐printable fluidic circuit boards. STREAM streamlines tube routing and layout, enabling the rapid fabrication of fluidic networks for soft robotics, lab‐on‐a‐chip devices, microfluidics, and biohybrid ...
Savita V. Kendre, Lehong Wang, Haotian Liu, Markus P. Nemitz   +3 more
wiley   +1 more source

Pattern recognition systems under attack [PDF]

, 2013
Pattern recognition systems have been increasingly used in security applications, although it is known that carefully crafted attacks can compromise their security.
Battista Biggio, Giorgio Fumera, Fabio Roli, ROLI, FABIO, FUMERA, GIORGIO, BIGGIO, BATTISTA   +5 more
core   +1 more source

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

Advanced Robotics Research, EarlyView.
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, Ali Umut Kaypak, Prashanth Krishnamurthy, Ramesh Karri, Farshad Khorrami   +4 more
wiley   +1 more source

Linear and ellipsoidal pattern separation: theoretical aspects and experimental analysis

, 2009
This thesis deals with a pattern classification problem, which geometrically implies data separation in some Euclidean feature space. The task is to infer a classifier (a separating surface) from a set or sequence of observations.
Kharechko, Andriy
core   +1 more source

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

Advanced Robotics Research, EarlyView.
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, Ilche Georgievski, Marco Aiello   +2 more
wiley   +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

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