How is sensor data powering AI in robotics?
Industrial robots are typically placed in ‘caged’ environments; a human entering that environment stops robot movement for safety reasons. But limiting human/robot collaboration prevents the realisation of many benefits. Robots with autonomous capabilities would enable the safe and productive co-existence of humans and robots.
Sensing and intelligent perception in robotic applications are important, because the effective performance of robotic systems – particularly ML/AI systems – greatly depends on the performance of sensors that provide critical data to these systems.
Today’s wide range of increasingly sophisticated and accurate sensors, combined with systems that can fuse all of this sensor data together, are enabling robots to have increasingly good perception and awareness.
To read the full paper, from Texas Instruments click here.
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