Improvements in learning to control perched landings

HIGHLIGHTS

  • who: R E G U and colleagues from the of Aerospace Engineering, University of Bristol, Bristol, UK and Bristol Robotics Lab, Bristol, UK have published the Article: Improvements in learning to control perched landings, in the Journal: (JOURNAL)
  • what: Using the PPO algorithm, reinforcement learning was used to generate a series of models to perform a perched landing manoeuvre.
  • how: The numerical model is implemented in Python and forms the simulated environment for the reinforcement learning process.
  • future: For the models in this paper this is the value used yet future . . .

     

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