首页 文献索引 SCI期刊 AI助手
期刊目录筛选

期刊名:Frontiers in robotics and ai

缩写:

ISSN:2296-9144

e-ISSN:2296-9144

IF/分区:3.0/Q2

文章目录 更多期刊信息

共收录本刊相关文章索引1925
Clinical Trial Case Reports Meta-Analysis RCT Review Systematic Review
Classical Article Case Reports Clinical Study Clinical Trial Clinical Trial Protocol Comment Comparative Study Editorial Guideline Letter Meta-Analysis Multicenter Study Observational Study Randomized Controlled Trial Review Systematic Review
Rhyse Bendell,Jessica Williams,Stephen M Fiore et al. Rhyse Bendell et al.
This study examines the integration of Artificial Social Intelligence (ASI) into human teams, focusing on how ASI can enhance teamwork processes in complex tasks. Teams of three participants collaborated with ASI advisors designed to exhibi...
Emadodin Jandaghi,Mingxi Zhou,Paolo Stegagno et al. Emadodin Jandaghi et al.
Introduction: This paper addresses the critical need for adaptive formation control in Autonomous Underwater Vehicles (AUVs) without requiring knowledge of system dynamics or environmental data. Current methods, often ass...
Cesar Alan Contreras,Alireza Rastegarpanah,Manolis Chiou et al. Cesar Alan Contreras et al.
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 ...
Caitlin L Le,Osman Dogan Yirmibesoglu,Sean Even et al. Caitlin L Le et al.
Robotic burrowing holds promise for applications in agriculture, resource extraction, and infrastructure development, but current approaches are ineffective, inefficient, or cause significant environmental disruption. In contrast, natural b...
Ane San Martin,Johan Kildal,Elena Lazkano Ane San Martin
For smooth human-robot cooperation, it is crucial that robots understand social cues from humans and respond accordingly. Contextual information provides the human partner with real-time insights into how the robot interprets social cues an...
Luigi Berducci,Edgar A Aguilar,Dejan Ničković et al. Luigi Berducci et al.
The automatic synthesis of policies for robotics systems through reinforcement learning relies upon, and is intimately guided by, a reward signal. Consequently, this signal should faithfully reflect the designer's intentions, which are ofte...
Xin-Xin Lin,Ming-De Li,Si-Min Ruan et al. Xin-Xin Lin et al.
Purpose: This study aims to develop an autonomous robotic ultrasound scanning system (auto-RUSS) pipeline, comparing its reproducibility and observer consistency in image analysis with physicians of varying levels of expe...
Jan-Hendrik Ewers,David Anderson,Douglas Thomson Jan-Hendrik Ewers
Traditional search and rescue methods in wilderness areas can be time-consuming and have limited coverage. Drones offer a faster and more flexible solution, but optimizing their search paths is crucial for effective operations. This paper p...
Wenchao Liu,Xin Xin,Chenyu Zheng Wenchao Liu
The concept of anthropomorphism is crucial in enhancing interactions between service robots and humans, serving as a key consideration in the design of these robots. Nevertheless, the specific mechanisms by which the anthropomorphic traits ...
Wilhelm J Marais,Oscar Pizarro,Stefan B Williams Wilhelm J Marais
This paper presents methods for finding optimal configurations and actuator forces/torques to maximise contact wrenches in a desired direction for underwater vehicle manipulator systems (UVMS). The wrench maximisation problem is formulated ...