🔹Google leverages computer vison to enhance the performance of robot manipulation
by Priya Dialani
The possibility that robots can figure out how to directly see the affordances of actions on objects (i.e., what the robot can or can’t do with an item) is called affordance-based manipulation, explored in research on learning complex vision-based manipulation skills including grasping, pushing, and tossing. In these #frameworks, affordances are represented as thick pixel-wise action-value maps that gauge how great it is for the #robot to execute one of a few predefined movements in every area.
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📌Via: @cedeeplearning
https://www.analyticsinsight.net/google-leverages-computer-vision-enhance-performance-robot-manipulation/
#computervision
#deeplearning
#neuralnetworks
#machinelearning
by Priya Dialani
The possibility that robots can figure out how to directly see the affordances of actions on objects (i.e., what the robot can or can’t do with an item) is called affordance-based manipulation, explored in research on learning complex vision-based manipulation skills including grasping, pushing, and tossing. In these #frameworks, affordances are represented as thick pixel-wise action-value maps that gauge how great it is for the #robot to execute one of a few predefined movements in every area.
——————————
📌Via: @cedeeplearning
https://www.analyticsinsight.net/google-leverages-computer-vision-enhance-performance-robot-manipulation/
#computervision
#deeplearning
#neuralnetworks
#machinelearning
Analytics Insight
Google Leverages Computer Vision to Enhance the Performance of Robot Manipulation
A Google and MIT team research whether pre-trained visual representations can be utilized to improve a robot's object manipulation performance using computer vision.