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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
Maani Ghaffari,Ray Zhang,Minghan Zhu et al. Maani Ghaffari et al.
This article reports on recent progress in robot perception and control methods developed by taking the symmetry of the problem into account. Inspired by existing mathematical tools for studying the symmetry structures of geometric spaces, ...
Mike E U Ligthart,Mark A Neerincx,Koen V Hindriks Mike E U Ligthart
In this article we discuss two studies of children getting acquainted with an autonomous socially assistive robot. The success of the first encounter is key for a sustainable long-term supportive relationship. We provide four validated beha...
Marek Sierotowicz,Donato Brusamento,Benjamin Schirrmeister et al. Marek Sierotowicz et al.
Repetitive or tiring tasks and movements during manual work can lead to serious musculoskeletal disorders and, consequently, to monetary damage for both the worker and the employer. Among the most common of these tasks is overhead working w...
Fabian Winter,Daniel Beer,Patrick Gono et al. Fabian Winter et al.
Objectives: In this study we aimed to present an updated cutting strategy and updated hardware for a new camera system that can increase cut-through detection using a cold ablation robot-guided laser osteotome. Methods: We performed a preop...
Rui Pimentel de Figueiredo,Jonas Le Fevre Sejersen,Jakob Grimm Hansen et al. Rui Pimentel de Figueiredo et al.
This article presents a complete solution for autonomous mapping and inspection tasks, namely a lightweight multi-camera drone design coupled with computationally efficient planning algorithms and environment representations for enhanced au...
Ruben S Verhagen,Mark A Neerincx,Myrthe L Tielman Ruben S Verhagen
Humans and robots are increasingly working together in human-robot teams. Teamwork requires communication, especially when interdependence between team members is high. In previous work, we identified a conceptual difference between sharing...
Chu Zheng,Guanda Li,Mitsuhiro Hayashibe Chu Zheng
Underwater snake robots have received attention because of their unique mechanics and locomotion patterns. Given their highly redundant degrees of freedom, designing an energy-efficient gait has been a main challenge for the long-term auton...
Miroslav Bogdanovic,Majid Khadiv,Ludovic Righetti Miroslav Bogdanovic
We present a general, two-stage reinforcement learning approach to create robust policies that can be deployed on real robots without any additional training using a single demonstration generated by trajectory optimization. The demonstrati...