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Thursday, November 14, 2019

Learning from Mistakes

Ultimately most important.  How do we learn from mistakes, and the contexts that created those mistakes?  A form of causal reasoning that we found most useful in our efforts.    A form of maintenance to0 that could be fed back into a loop for updating data based training.

Worker Robots that Learn from Mistakes
By University of Leeds (U.K.)

A robot arm attempts to clear a cluttered table.
University of Leeds scientists are using automated planning and reinforcement learning to train a robot to find an object in a cluttered space and move it.

Computer scientists at the University of Leeds in the U.K. are using the artificial intelligence techniques of automated planning and reinforcement learning to train a robot to find an object in a cluttered space and move it.

The goal is to develop robotic autonomy, a state in which the machine can assess the unique circumstances presented in a task and find a solution.

The main challenge is that in a confined area, a robotic arm may not be able to grasp an object from above, and instead must plan a sequence of moves to reach the target object in a way that allows it to grasp the object.

Said Leeds researcher Wissam Bejjani, "Our work is significant because it combines planning with reinforcement learning. A lot of research to try and develop this technology focuses on just one of those approaches."..... '

From University of Leeds (U.K.)

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