1 citations · 1 across the 4 of their papers we have counts for
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Learning to Open Doors with an Aerial Manipulator
Eugenio Cuniato, Ismail Geles, Weixuan Zhang +3
The field of aerial manipulation has seen rapid advances, transitioning from push-and-slide tasks to interaction with articulated objects. So far, when more complex actions are per…
Learning Variable Impedance Control for Aerial Sliding on Uneven Heterogeneous Surfaces by Proprioceptive and Tactile Sensing
Weixuan Zhang, Lionel Ott, Marco Tognon +1
The recent development of novel aerial vehicles capable of physically interacting with the environment leads to new applications such as contact-based inspection. These tasks requi…
MPC with Learned Residual Dynamics with Application on Omnidirectional MAVs
Maximilian Brunner, Weixuan Zhang, Ahmad Roumie +2
The growing field of aerial manipulation often relies on fully actuated or omnidirectional micro aerial vehicles (OMAVs) which can apply arbitrary forces and torques while in conta…
Active Model Learning using Informative Trajectories for Improved Closed-Loop Control on Real Robots
Weixuan Zhang, Marco Tognon, Lionel Ott +2
Model-based controllers on real robots require accurate knowledge of the system dynamics to perform optimally. For complex dynamics, first-principles modeling is not sufficiently p…
Learning dynamics for improving control of overactuated flying systems
Weixuan Zhang, Maximilian Brunner, Lionel Ott +3
Overactuated omnidirectional flying vehicles are capable of generating force and torque in any direction, which is important for applications such as contact-based industrial inspe…