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GTC ON-DEMAND

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Abstract:
Machine learning has made it possible to shift from manually programming robots to allowing machines to learn and adapt to changes in the environment. We will discuss how AI-enabled robots are used in warehouse automation and how we can use warehouse robotics as an example for other industries such as manufacturing and food assembly. We will describe recent progress in deep reinforcement learning and imitation learning, and discuss the requirements and challenges of various industrial problems, both pipelined and end-to-end systems. Our talk also covers the technology Osaro developed to address the challenges in industrial robotics.
Machine learning has made it possible to shift from manually programming robots to allowing machines to learn and adapt to changes in the environment. We will discuss how AI-enabled robots are used in warehouse automation and how we can use warehouse robotics as an example for other industries such as manufacturing and food assembly. We will describe recent progress in deep reinforcement learning and imitation learning, and discuss the requirements and challenges of various industrial problems, both pipelined and end-to-end systems. Our talk also covers the technology Osaro developed to address the challenges in industrial robotics.  Back
 
Topics:
Intelligent Machines, IoT & Robotics
Type:
Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S9955
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