Machine learning guarantees robots’ performance in unknown territory

ScienceDaily | Nov 18, 2020 at 4:32 AM
  • This experiment is a proving ground for a pivotal challenge in modern robotics: the ability to guarantee the safety and success of automated robots operating in novel environments.
  • In the first paper, a proof of principle for applying the machine learning frameworks, the team tested their approach in simulations that included a wheeled vehicle driving through a space filled with obstacles, and a robotic arm grasping objects on a table.
  • The researchers deployed the policies learned from the mug-grasping and box-pushing tasks on a robotic arm in the laboratory.