Results 111 to 120 of about 2,223 (250)

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

Automation of Serial Dilution using Microfluidic Digital Logic [PDF]

, 2015
Fluid handling procedures like serial dilution are common to a number of laboratory protocols. Such procedures are time consuming and require laboratory training to be performed.
Raje, Manasi Madhav
core  

Hybrid Continuum Robot Designs and Architectures for Healthcare Applications

Advanced Robotics Research, EarlyView.
Hybrid continuum robots represent an emerging class of flexible manipulators that blend materials, structures, and actuation concepts from the established fields of soft and continuum robotics. This review introduces an accessible framework to distinguish key hybridization approaches, surveys current designs aimed at complex clinical applications, and ...
Burak Ozdemir, Muhammad A. Khalid, Manish Chauhan, Pietro Valdastri, James H. Chandler   +4 more
wiley   +1 more source

Graphene demon wave transistor

Nature Communications
Controlling heat flow at the microscale with transistor-like precision has long been a challenge, as thermal energy in solids typically diffuses without an efficient gating mechanism.
Yuwei Zhuang, Zeyu Jin, Guangliang Niu, Zhengjie Duan, Lidong Zhang, Yibo Feng, Ju Shang, Kenji Watanabe, Takashi Taniguchi, Jian Wang, Wenyu Zhao   +10 more
doaj   +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

Vortex Core Line Extraction and Tracking from Unsteady Computational Fluid Dynamics Simulations using Subjective Logic

, 2012
Presented here is a novel tool to extract and track believable vortex core lines from unsteady Computational Fluid Dynamics data sets using multiple feature extraction algorithms.
Gorrell, Steven E., Gosnell, Michael R., Woodley, Robert S., Shaw, R. P.   +3 more
core  

Design and Modeling of a High‐Displacement, Skin‐Integrated Flexible Electromagnetic Actuator for Haptic Interfaces in Virtual Reality

Advanced Robotics Research, EarlyView.
A flexible, skin‐integrated electromagnetic actuator is developed for wearable virtual/augmented reality (VR/AR) haptic systems. A tunable design model enables control over displacement and resonance frequency. The system is validated through a custom VR application with a 6 × 4 actuator array, demonstrating real‐time, spatially targeted tactile ...
Naji Tarabay, Alexandra Zhang Jiang, Ziteng Liu, Rachel Villamor, Derek Cha, Ananya Renuka Balakrishna, Tianshu Liu, Priyanshu Agarwal, Rainer Dömer, Camilo Velez   +9 more
wiley   +1 more source

The logic of ambitious legislators in fluid party systems

Legislative Studies Quarterly
AbstractClassic theories of political ambition assume relatively stable and programmatic party systems. However, in many parts of the world, ‘fluid’ or ‘inchoate’ party systems do not provide ambitious legislators with the electoral benefits associated with stable party brands.
Thomas Mustillo, John Polga‐Hecimovich, Francisco Sánchez   +2 more
openaire   +1 more source

Controlador baseado em lógica nebulosa aplicado a um sistema servopneumático (simulação) / [PDF]

, 1999
Dissertação (Mestrado) - Universidade Federal de Santa Catarina, Centro ...
Picanço, Marco Antonio Silva
core  

DRIVE‐SAFE: Data‐Driven Robustness and Informed Validation for Evolving Specifications via Formal Evaluation

Advanced Robotics Research, EarlyView.
DRIVE‐SAFE evaluates learning‐based, black‐box autonomous driving policies against evolving temporal safety requirements using Signal Temporal Logic robustness metrics. It aggregates distributional robustness measures with domain‐informed weights to guide iterative retraining.
Kristy Sakano, Jianyu An, Dinesh Manocha, Huan Xu   +3 more
wiley   +1 more source