Results 151 to 160 of about 816,456 (248)

Auditory–Tactile Congruence for Synthesis of Adaptive Pain Expressions in RoboPatients

Advanced Robotics Research, EarlyView.
In this work, we explore auditory–tactile congruence for synthesizing adaptive vocal pain expressions in robopatients. Using a robopatient platform that integrates vocal pain sounds with palpation forces, we conducted 7680 trials across 20 participants.
Saitarun Nadipineni, Chapa Sirithunge, Yue Xie, Fumiya Iida, Thilina Dulantha Lalitharatne   +4 more
wiley   +1 more source

Probabilistic Reasoning

The Reasoner, 2010
Michael Wilde
doaj  

Multimodal Engagement Assessment in Children During Invented Story Paradigm With a Social Robot

Advanced Robotics Research, EarlyView.
A multimodal framework is proposed to assess children's engagement during storytelling interactions with a social robot. Gaze, physiological, and behavioral data are combined and validated against observer ratings. An automated gaze‐labeling strategy is introduced, and supervised classifiers achieve high accuracy. The study supports scalable engagement
Laura Fiorini, Elena Adelucci, Stefano Scatigna, Lorenzo Pugi, Alice Bruni, Benedetta Carotenuto, Chiara Pecini, Filippo Cavallo   +7 more
wiley   +1 more source

Analysis of Students’ Scientific Reasoning Profiles Using the Lawson’s Classroom Test of Scientific Reasoning

JPFT (Jurnal Pendidikan Fisika dan Teknologi)
This study investigates the scientific reasoning profiles of physics education students using Lawson’s Classroom Test of Scientific Reasoning (LCTSR).
Hebron Pardede, Mariana Surbakti, Bajongga Silaban   +2 more
doaj  

A neural code supporting prospective probabilistic reasoning for instrumental information demand in humans. [PDF]

Commun Biol
Singletary NM, Horga G, Gottlieb J.
europepmc   +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

On direct and indirect probabilistic reasoning in legal proof

, 2014
In the academic literature three approaches to rational legal proof are investigated, broadly speaking based, respectively on Bayesian statistics, on scenario construction and on argumentation.
Sub Intelligent Systems, Prakken, Hendrik, Intelligent Systems   +2 more
core  

Highly parallel and ultra-low-power probabilistic reasoning with programmable gaussian-like memory transistors. [PDF]

Nat Commun
Lee C, Rahimifard L, Choi J, Park JI, Lee C, Kumar D, Shukla P, Lee SM, Trivedi AR, Yoo H, Im SG.   +10 more
europepmc   +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

Reasoning about probabilities and probabilistic reasoning

The Reasoner, 2007
Eric Pacuit
doaj