Zobrazeno 1 - 10
of 13 866
pro vyhledávání: '"P. P. Chiou"'
Publikováno v:
Published in IEEE SMC 2024
This paper presents a novel method to quantify Trust in HRI. It proposes an HRI framework for estimating the Robot Trust towards the Human in the context of a narrow and specified task. The framework produces a real-time estimation of an AI agent's A
Externí odkaz:
http://arxiv.org/abs/2411.19580
We present a novel quantum circuit that genuinely implements the Scully-Dr\"uhl-type delayed-choice quantum eraser, where the two recorders of the which-way information directly interact with the signal qubit and remain spatially separated. Experimen
Externí odkaz:
http://arxiv.org/abs/2409.08053
This paper presents a mini-review of the current state of research in mobile manipulators with variable levels of autonomy, emphasizing their associated challenges and application environments. The need for mobile manipulators in different environmen
Externí odkaz:
http://arxiv.org/abs/2408.10887
Remote Photoplethysmography (rPPG) aims to measure physiological signals and Heart Rate (HR) from facial videos. Recent unsupervised rPPG estimation methods have shown promising potential in estimating rPPG signals from facial regions without relying
Externí odkaz:
http://arxiv.org/abs/2407.21402
Variable autonomy equips a system, such as a robot, with mixed initiatives such that it can adjust its independence level based on the task's complexity and the surrounding environment. Variable autonomy solves two main problems in robotic planning:
Externí odkaz:
http://arxiv.org/abs/2407.16254
Many remote photoplethysmography (rPPG) estimation models have achieved promising performance in the training domain but often fail to accurately estimate physiological signals or heart rates (HR) in the target domains. Domain generalization (DG) or
Externí odkaz:
http://arxiv.org/abs/2407.13322
Autor:
Li, Cheng-Yi, Chang, Kao-Jung, Yang, Cheng-Fu, Wu, Hsin-Yu, Chen, Wenting, Bansal, Hritik, Chen, Ling, Yang, Yi-Ping, Chen, Yu-Chun, Chen, Shih-Pin, Lirng, Jiing-Feng, Chang, Kai-Wei, Chiou, Shih-Hwa
Multi-modal large language models (MLLMs) have been given free rein to explore exciting medical applications with a primary focus on radiology report generation. Nevertheless, the preliminary success in 2D radiology captioning is incompetent to refle
Externí odkaz:
http://arxiv.org/abs/2407.02235
Autor:
Lake, William, Williams, Claire E., Naoz, Smadar, Marinacci, Federico, Burkhart, Blakesley, Vogelsberger, Mark, Yoshida, Naoki, Chiaki, Gen, Chen, Avi, Chiou, Yeou S.
At high redshifts ($z\gtrsim12$), the relative velocity between baryons and dark matter (the so-called streaming velocity) significantly affects star formation in low-mass objects. Streaming substantially reduces the abundance of low-mass gas objects
Externí odkaz:
http://arxiv.org/abs/2405.14938
Emotions are an integral part of being human, and experiencing a range of emotions is what makes life rich and vibrant. From basic emotions like anger, fear, happiness, and sadness to more complex ones like excitement and grief, emotions help us expr
Externí odkaz:
http://arxiv.org/abs/2405.05929
The Metaverse, an immersive virtual world, has emerged as a shared space where people engage in various activities ranging from social interactions to commerce. Cryptocurrencies [3] and Non-Fungible Tokens (NFTs) [6] play pivotal roles within this vi
Externí odkaz:
http://arxiv.org/abs/2405.05918