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期刊名:Frontiers in robotics and ai

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ISSN:2296-9144

e-ISSN:2296-9144

IF/分区:3.0/Q2

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共收录本刊相关文章索引1926
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
Paul Bremner,Manuel Giuliani Paul Bremner
This paper makes a contribution to research on digital twins that are generated from robot sensor data. We present the results of an online user study in which 240 participants were tasked to identify real-world objects from robot point clo...
Belinda Louie,Elin A Björling,Annie Camey Kuo et al. Belinda Louie et al.
Integrating cultural responsiveness into the educational setting is essential to the success of multilingual students. As social robots present the potential to support multilingual children, it is imperative that the design of social robot...
Jerry Tang,Karan P Jain,Mark W Mueller Jerry Tang
We present QUaRTM - a novel quadcopter design capable of tilting the propellers into the forward flight direction, which reduces the drag area and therefore allows for faster, more agile, and more efficient flight. The vehicle can morph bet...
Katerina Kalou,Giulia Sedda,Agostino Gibaldi et al. Katerina Kalou et al.
When exploring the surrounding environment with the eyes, humans and primates need to interpret three-dimensional (3D) shapes in a fast and invariant way, exploiting a highly variant and gaze-dependent visual information. Since they have fr...
Ayaka Fujii,Kristiina Jokinen,Kei Okada et al. Ayaka Fujii et al.
Social robots have grown increasingly integrated into our daily lives in recent years. Robots can be good social agents who engage with people, such as assistants and counselors, and good partners and companions with whom people can form go...
Volker Gabler,Dirk Wollherr Volker Gabler
This article focuses on learning manipulation skills from episodic reinforcement learning (RL) in unknown environments using industrial robot platforms. These platforms usually do not provide the required compliant control modalities to cop...
Berardino Barile,Pooya Ashtari,Claudio Stamile et al. Berardino Barile et al.
Purpose: The main goal of this study is to investigate the discrimination power of Grey Matter (GM) thickness connectome data between Multiple Sclerosis (MS) clinical profiles using statistical and Machine Learning (ML) methods. Materials a...
Manu Harikrishnan Nair,Mini Chakravarthini Rai,Mithun Poozhiyil Manu Harikrishnan Nair
In-Space Services aim to introduce sustainable futuristic technology to support the current and growing orbital ecosystem. As the scale of space missions grows, there is a need for more extensive infrastructures in orbit. In-Space Assembly ...