no code implementations • 19 Sep 2022 • Dingqi Zhang, Antonio Loquercio, Xiangyu Wu, Ashish Kumar, Jitendra Malik, Mark W. Mueller
This paper proposes an adaptive near-hover position controller for quadcopters, which can be deployed to quadcopters of very different mass, size and motor constants, and also shows rapid adaptation to unknown disturbances during runtime.
no code implementations • 15 Mar 2022 • Karan P. Jain, Prasanth Kotaru, Massimiliano de Sa, Koushil Sreenath, Mark W. Mueller
Finally, we present experiments demonstrating the use of a two-quadcopter tethered system as compared to a one-quadcopter tethered system in a cluttered environment, such as passing through a window and grasping an object over an obstacle.
no code implementations • 10 Mar 2022 • Shuxiao Chen, Bike Zhang, Mark W. Mueller, Akshara Rai, Koushil Sreenath
Reinforcement learning (RL) has become a promising approach to developing controllers for quadrupedal robots.
no code implementations • 7 Aug 2021 • Shuxiao Chen, Xiangyu Wu, Mark W. Mueller, Koushil Sreenath
The capabilities of autonomous flight with unmanned aerial vehicles (UAVs) have significantly increased in recent times.