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pro vyhledávání: '"Eze, Chrisantus"'
Autor:
Eze, Chrisantus, Crick, Christopher
Robot learning of manipulation skills is hindered by the scarcity of diverse, unbiased datasets. While curated datasets can help, challenges remain in generalizability and real-world transfer. Meanwhile, large-scale "in-the-wild" video datasets have
Externí odkaz:
http://arxiv.org/abs/2402.07127
Autor:
Eze, Chrisantus
This work presents a survey of existing literature on the fusion of the Internet of Things (IoT) with robotics and explores the integration of these technologies for the development of the Internet of Robotics Things (IoRT). The survey focuses on the
Externí odkaz:
http://arxiv.org/abs/2306.02586
Autor:
Eze, Chrisantus, Crick, Christopher
As the use of Augmented Reality (AR) to enhance interactions between human agents and robotic systems in a work environment continues to grow, robots must communicate their intents in informative yet straightforward ways. This improves the human agen
Externí odkaz:
http://arxiv.org/abs/2303.05539