Results 101 to 110 of about 3,625,950 (296)

Multilevel Embedding and Dropout for Improved 3D Object Detection in Autonomous Driving Systems

Advanced Robotics Research, EarlyView.
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

The DIKWP (Data, Information, Knowledge, Wisdom, Purpose) Revolution: A New Horizon in Medical Dispute Resolution

Applied Sciences
The doctor–patient relationship has received widespread attention as a significant global issue affecting people’s livelihoods. In clinical practice within the medical field, applying existing artificial intelligence (AI) technology presents issues such ...
Yingtian Mei, Yucong Duan
doaj   +1 more source

Cognitive Deficits and Associated ERP N400 Abnormalities in FXTAS With Parkinsonism

Frontiers in Genetics, 2018
Objective: To examine cognitive deficits and associated brain activity in fragile X-associated tremor/ataxia syndrome (FXTAS) patients with parkinsonism (FXTp+), in relation to FXTAS patients without parkinsonism (FXTp-), and normal elderly controls (NC).
Xiao-Hong Wang, Xiao-Hong Wang, Jin-Chen Yang, Jin-Chen Yang, Robert Soohoo, Robert Soohoo, Devyn Cotter, Devyn Cotter, Mei Yuan, Mei Yuan, Jiangyi Xia, Shuja Yaqub, Jesse Doty, Yu-Qiong Niu, Yu-Qiong Niu, Flora Tassone, Flora Tassone, Randi Hagerman, Randi Hagerman, Lin Zhang, John Olichney, John Olichney   +21 more
doaj   +1 more source

Chinese semantic processing cerebral areas

, 2003
This study has identified the active cerebral areas of normal Chinese that are associated with Chinese semantic processing using functional brain imaging.
Shan, BC, Zhang, WT, Cao, BL, B. C. Shan, Wu, YG, Li, DJ, Ma, L, Tang, XW, Tang, YY   +8 more
core  

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

Semantic size of abstract concepts: it gets emotional when you can’t see it [PDF]

, 2013
Size is an important visuo-spatial characteristic of the physical world. In language processing, previous research has demonstrated a processing advantage for words denoting semantically 'big' (e.g., jungle) versus 'small' (e.g., needle) concrete objects.
Sereno, Margaret E., Margaret E. Sereno (463122), Patrick J. O’donnell, Weick, Mario, Sara C. Sereno (463124), Yao Bo, Vasiljevic, Milica, Sara C. Sereno, Bo Yao (308010), Milica Vasiljevic, Vasiljevic Milica, Sereno Sara C., O'Donnell, P.J., Margaret E. Sereno, Bo Yao, Vasiljevic, M., Sereno, Sara C., Yao, B., Margaret E Sereno, Sara C Sereno, Sereno Margaret E., Yao, Bo, O'Donnell, Patrick J., O’Donnell Patrick J., Mario Weick (463121), Weick, M., Patrick J O'Donnell, Sereno, S.C., Milica Vasiljevic (385858), Sereno, M.E., Patrick J. O’Donnell (463123), Mario Weick, Weick Mario   +32 more
core   +3 more sources

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

Mutual Adaptation and Influence: Review of Latent Dynamics Models in Human–Robot Interaction

Advanced Robotics Research, EarlyView.
Robots are becoming better teammates by learning hidden patterns in how people act. This review covers how state‐of‐the‐art approaches leverage these patterns to help robots not only react but also anticipate and guide cooperation. Here, we synthesize a unifying framework for these approaches, classify and review existing works, and highlight key ...
Mason O. Smith, Sunny Amatya, Seyed Yousef Soltanian, Jonathan Bush, Wenlong Zhang   +4 more
wiley   +1 more source

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

Action Semantic Deficits and Impaired Motor Skills in Autistic Adults Without Intellectual Impairment

Frontiers in Human Neuroscience, 2019
Several studies indicate the functional importance of the motor cortex for higher cognition, language and semantic processing, and place the neural substrate of these processes in sensorimotor action-perception circuits linking motor, sensory and ...
Josephina Hillus, Rachel Moseley, Stefan Roepke, Bettina Mohr   +3 more
doaj   +1 more source