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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
Patrícia Alves-Oliveira,Alaina Orr,Elin A Björling et al. Patrícia Alves-Oliveira et al.
Despite promises about the near-term potential of social robots to share our daily lives, they remain unable to form autonomous, lasting, and engaging relationships with humans. Many companies are deploying social robots into the consumer a...
Catharina V Smedegaard Catharina V Smedegaard
Research on psychological novelty effects within the fields of Social Robotics and Human-Robot Interaction (together: SHRI) so far has failed to gather the momentum it deserves. With the aid of exemplary descriptions of how psychological no...
Peter Q Lee,Vidyasagar Rajendran,Katja Mombaur Peter Q Lee
Buzzwire tasks are often used as benchmarks and as training environments for fine motor skills and high precision path following. These tasks require moving a wire loop along an arbitrarily shaped wire obstacle in a collision-free manner. W...
Maria Pozzi,Gabriele Maria Achilli,Maria Cristina Valigi et al. Maria Pozzi et al.
Grasping and dexterous manipulation remain fundamental challenges in robotics, above all when performed with multifingered robotic hands. Having simulation tools to design and test grasp and manipulation control strategies is paramount to g...
Hugh Runyan,Vid Petrovic,Clinton B Edwards et al. Hugh Runyan et al.
Enabled by advancing technology, coral reef researchers increasingly prefer use of image-based surveys over approaches depending solely upon in situ observations, interpretations, and recordings of divers. The images collected, and derivati...
Nataliya Strokina,Wenyan Yang,Joni Pajarinen et al. Nataliya Strokina et al.
One of the key challenges in implementing reinforcement learning methods for real-world robotic applications is the design of a suitable reward function. In field robotics, the absence of abundant datasets, limited training time, and high v...
Jie Luo,Aart C Stuurman,Jakub M Tomczak et al. Jie Luo et al.
Simultaneously evolving morphologies (bodies) and controllers (brains) of robots can cause a mismatch between the inherited body and brain in the offspring. To mitigate this problem, the addition of an infant learning period has been propos...
Antonio Lieto Antonio Lieto
In this article, I argue that the artificial components of hybrid bionic systems do not play a direct explanatory role, i.e., in simulative terms, in the overall context of the systems in which they are embedded in. More precisely, I claim ...