Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Autonomous helicopter flight is widely regarded to be a highly challenging control problem.  presents the first successful autonomous completion on a real RC helicopter of the following four aerobatic maneuvers: forward flip and sideways roll at low speed, tail-in funnel, and nose-in funnel. Our experimental results significantly extend the state of the art in autonomous helicopter flight.  used the following approach: First  had a pilot fly the helicopter to help us find a helicopter dynamics model and a reward (cost) function. Then  used a reinforcement learning (optimal control) algorithm to find a controller that is optimized for the resulting model and reward function. More specifically,  used differential dynamic programming (DDP), an extension of the linear quadratic regulator (LQR).
['Pieter Abbeel', 'Adam Coates', 'Morgan Quigley', 'Andrew Y. Ng']
I am writing a research paper on a idea An Application of Reinforcement Learning to Aerobatic Helicopter Flight
[{"from": "human", "value": "I am writing a research paper on a idea An Application of Reinforcement Learning to Aerobatic Helicopter Flight"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Autonomous helicopter flight is widely regarded to be a highly challenging control problem.  presents the first successful autonomous completion on a real RC helicopter of the following four aerobatic maneuvers: forward flip and sideways roll at low speed, tail-in funnel, and nose-in funnel. Our experimental results significantly extend the state of the art in autonomous helicopter flight.  used the following approach: First  had a pilot fly the helicopter to help us find a helicopter dynamics model and a reward (cost) function. Then  used a reinforcement learning (optimal control) algorithm to find a controller that is optimized for the resulting model and reward function. More specifically,  used differential dynamic programming (DDP), an extension of the linear quadratic regulator (LQR)."}]