Recent trends in the research of industrial robots and future outlook
Y Domae - Journal of Robotics and Mechatronics, 2019 - jstage.jst.go.jp
To respond to needs that have greatly diversified since the 2000s, there has been dramatic
development of industrial robots with advanced intelligence. The aim of this paper was to …
development of industrial robots with advanced intelligence. The aim of this paper was to …
A fog robotics approach to deep robot learning: Application to object recognition and grasp planning in surface decluttering
The growing demand of industrial, automotive and service robots presents a challenge to
the centralized Cloud Robotics model in terms of privacy, security, latency, bandwidth, and …
the centralized Cloud Robotics model in terms of privacy, security, latency, bandwidth, and …
RILaaS: Robot inference and learning as a service
Programming robots is complicated due to the lack ofplug-and-play'modules for skill
acquisition. Virtualizing deployment of deep learning models can facilitate large-scale use/re …
acquisition. Virtualizing deployment of deep learning models can facilitate large-scale use/re …
A 3-stage machine learning-based novel object gras** methodology
JJ Van Vuuren, L Tang, I Al-Bahadly, KM Arif - IEEE Access, 2020 - ieeexplore.ieee.org
The automatic gras** of objects previously unseen by a robotic system is a difficult task-of
which there is currently no robust solution. The research presented in this article improves …
which there is currently no robust solution. The research presented in this article improves …
[CYTOWANIE][C] Efficient Distribution of Robotics Workloads using Fog Computing
R Anand - 2020