Robot operating system 2: Design, architecture, and uses in the wild
The next chapter of the robotics revolution is well underway with the deployment of robots for
a broad range of commercial use cases. Even in a myriad of applications and environments …
a broad range of commercial use cases. Even in a myriad of applications and environments …
Knowledge-integrated machine learning for materials: lessons from gameplaying and robotics
As materials researchers increasingly embrace machine-learning (ML) methods, it is natural
to wonder what lessons can be learned from other fields undergoing similar developments …
to wonder what lessons can be learned from other fields undergoing similar developments …
History of artificial intelligence in medicine
V Kaul, S Enslin, SA Gross - Gastrointestinal endoscopy, 2020 - Elsevier
Artificial intelligence (AI) was first described in 1950; however, several limitations in early
models prevented widespread acceptance and application to medicine. In the early 2000s …
models prevented widespread acceptance and application to medicine. In the early 2000s …
Rearrangement: A challenge for embodied ai
We describe a framework for research and evaluation in Embodied AI. Our proposal is
based on a canonical task: Rearrangement. A standard task can focus the development of …
based on a canonical task: Rearrangement. A standard task can focus the development of …
Transformative potential of AI in Healthcare: definitions, applications, and navigating the ethical Landscape and Public perspectives
Artificial intelligence (AI) has emerged as a crucial tool in healthcare with the primary aim of
improving patient outcomes and optimizing healthcare delivery. By harnessing machine …
improving patient outcomes and optimizing healthcare delivery. By harnessing machine …
A reference framework and overall planning of industrial artificial intelligence (I-AI) for new application scenarios
With the breakthroughs in artificial intelligence technology and the rapid development of
intelligent manufacturing, industry and artificial intelligence (AI) are gradually being deeply …
intelligent manufacturing, industry and artificial intelligence (AI) are gradually being deeply …
Object goal navigation with recursive implicit maps
Object goal navigation aims to navigate an agent to locations of a given object category in
unseen environments. Classical methods explicitly build maps of environments and require …
unseen environments. Classical methods explicitly build maps of environments and require …
Neural radiance fields in the industrial and robotics domain: applications, research opportunities and use cases
The proliferation of technologies, such as extended reality (XR), has increased the demand
for high-quality three-dimensional (3D) graphical representations. Industrial 3D applications …
for high-quality three-dimensional (3D) graphical representations. Industrial 3D applications …
Deepsym: Deep symbol generation and rule learning for planning from unsupervised robot interaction
Symbolic planning and reasoning are powerful tools for robots tackling complex tasks.
However, the need to manually design the symbols restrict their applicability, especially for …
However, the need to manually design the symbols restrict their applicability, especially for …
What is robotics? Why do we need it and how can we get it?
DE Koditschek - Annual Review of Control, Robotics, and …, 2021 - annualreviews.org
Robotics is an emerging synthetic science concerned with programming work. Robot
technologies are quickly advancing beyond the insights of the existing science. More secure …
technologies are quickly advancing beyond the insights of the existing science. More secure …