Researchers from ETH Zurich in Switzerland have managed to successfully use a drone to open doors. Technically speaking, the team used a Reinforcement Learning (RL) approach to learn reactive motion behaviors for a manipulation task while producing policies that are robust to disturbances and modeling errors.
In other words, they train a policy to perform a door-opening task with an Omnidirectional Micro Aerial Vehicle. This policy is trained in a physics simulator and then showcased in the real world, where it is able to generalize door closing tasks never before seen in training. They also compared this new method against a state-of-the-art Model Predictive Path Integral (MPPI) solution in simulation, which showed a considerable increase in robustness and speed.
- ๐๐ถ๐ด๐ต๐๐๐ฒ๐ถ๐ด๐ต๐ ๐ฎ๐ป๐ฑ ๐ฃ๐ผ๐ฟ๐๐ฎ๐ฏ๐น๐ฒ - The drone is lightweight and compact, weighing...
- ๐ก๐ผ ๐ฅ๐ฒ๐ด๐ถ๐๐๐ฟ๐ฎ๐๐ถ๐ผ๐ป ๐ก๐ฒ๐ฒ๐ฑ๐ฒ๐ฑ - Under 249 g, FAA Registration and Remote ID are not required if...
- ๐๐ ๐๐ฒ๐ป๐ฑ๐ฒ๐ฑ ๐๐น๐ถ๐ด๐ต๐ ๐ง๐ถ๐บ๐ฒ - Enjoy longer flights with DJI Mini 2 SE, which offers a 31-min max flight...
