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Robotics researchers at the U-M are “training” robots that work with soft objects like ropes and fabrics, or in cluttered environments.

A new way to get robots to learn how to perform new tasks could cut down the learning time by letting the bots make some educated guesses.

Https://youtu.be/fXu47_7FH3s In a step toward robots that can learn on the fly like humans do, a new approach expands training data sets for robots that work with soft objects like ropes and fabrics, or in cluttered environments. Study: Data augmentation for manipulation Developed by rob

Researchers attempt to help robots learn to use soft materials like rope Shane McGlaun - May 20, 2021, 5:24am CDT Researchers from the University of Michigan are working on making robots more functional and capable in the real world. Researchers working on the study say the models robots use to perform tasks typically work well in a structured environment inside the laboratory. However, when the robots are used outside the laboratory, some of the most sophisticated models prove inadequate in certain situations. Situations that prove particularly difficult for robots to perf...