activity
20182023
most citedNeural Lander: Stable Drone Landing Control using Learned Dynamics

290 citations · 601 across the 7 of their papers we have counts for

collaborators

7 papers

cs.RO2023★ 1 cited

Nonlinear Controller Design for a Quadrotor with Inverted Pendulum

Xichen Shi, Yashwanth Kumar Nakka

The quadrotor is a degrees-of-freedom (DoF) system with underactuation. Adding a spherical pendulum on top of a quadrotor further complicates the task of achieving any output t…

cs.RO2022★ 282 cited

Neural-Fly Enables Rapid Learning for Agile Flight in Strong Winds

Michael O'Connell, Guanya Shi, Xichen Shi +4

Executing safe and precise flight maneuvers in dynamic high-speed winds is important for the ongoing commoditization of uninhabited aerial vehicles (UAVs). However, because the rel…

cs.RO2021★ 8 cited

Meta-Learning-Based Robust Adaptive Flight Control Under Uncertain Wind Conditions

Michael O'Connell, Guanya Shi, Xichen Shi +1

Realtime model learning proves challenging for complex dynamical systems, such as drones flying in variable wind conditions. Machine learning technique such as deep neural networks…

cs.RO2020★ 5 cited

Neural-Swarm2: Planning and Control of Heterogeneous Multirotor Swarms using Learned Interactions

Guanya Shi, Wolfgang Hönig, Xichen Shi +2

We present Neural-Swarm2, a learning-based method for motion planning and control that allows heterogeneous multirotors in a swarm to safely fly in close proximity. Such operation…

eess.SY2020★ 2 cited

Numerical Predictive Control for Delay Compensation

Xichen Shi, Michael O'Connell, Soon-Jo Chung

We present a delay-compensating control method that transforms exponentially stabilizing controllers for an undelayed system into a sample-based predictive controller with numerica…

cs.RO2020★ 13 cited

Adaptive Nonlinear Control of Fixed-Wing VTOL with Airflow Vector Sensing

Xichen Shi, Patrick Spieler, Ellande Tang +3

Fixed-wing vertical take-off and landing (VTOL) aircraft pose a unique control challenge that stems from complex aerodynamic interactions between wings and rotors. Thus, accurate e…

cs.RO2018★ 290 cited

Neural Lander: Stable Drone Landing Control using Learned Dynamics

Guanya Shi, Xichen Shi, Michael O'Connell +5

Precise near-ground trajectory control is difficult for multi-rotor drones, due to the complex aerodynamic effects caused by interactions between multi-rotor airflow and the enviro…