Media Summary: AI Robotics Lab School of Astronautics, Beihang University. This video shows experimental results of the Status: accepted for publication in 2022 IEEE

Robust Formation Trajectory Tracking Control - Detailed Analysis & Overview

AI Robotics Lab School of Astronautics, Beihang University. This video shows experimental results of the Status: accepted for publication in 2022 IEEE Our experimental platform consists of the Parrot Bepob 2 quadrotor and the amovlab R200 ground vehicle, which are used to ... Work submitted to the 2023 International Conference on Robotics and Automation (ICRA). Preprint available on Arxiv: ... This work was motivated by the problem of

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Robust Formation Trajectory Tracking Control for Multiple Quadrotors  with Communication Delays
Robust Trajectory Tracking Control for Uncertain 3-DOF Helicopters with Prescribed Performance
[LCSS2022] RISE-based trajectory tracking control of an aerial manipulator under uncertainty
Robust landing trajectory tracking control for quadrotors under uncertain disturbances
Robust Trajectory Tracking Control for Underactuated Autonomous Underwater Vehicles
Robust Trajectory Tracking on Insect-Scale Soft-Actuated Aerial Robots with Deep-Learned Tube MPC
robust trajectory tracking
Robust Control Scheme for trajectory generation and tracking of a quadcopter
Robust Tracking Control of Aerial Robots
Robust Global Trajectory Tracking on SE(3) via MRP-based adaptive hybrid feedback - Wind Test
Robust trajectory tracking performance in the joint space of a moving-base manipulator
Robust Trajectory Tracking Control for Autonomous Underwater Vehicles in Uncertain Environments
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Robust Formation Trajectory Tracking Control for Multiple Quadrotors  with Communication Delays

Robust Formation Trajectory Tracking Control for Multiple Quadrotors with Communication Delays

AI Robotics Lab School of Astronautics, Beihang University.

Robust Trajectory Tracking Control for Uncertain 3-DOF Helicopters with Prescribed Performance

Robust Trajectory Tracking Control for Uncertain 3-DOF Helicopters with Prescribed Performance

This video shows experimental results of the

[LCSS2022] RISE-based trajectory tracking control of an aerial manipulator under uncertainty

[LCSS2022] RISE-based trajectory tracking control of an aerial manipulator under uncertainty

Status: accepted for publication in 2022 IEEE

Robust landing trajectory tracking control for quadrotors under uncertain disturbances

Robust landing trajectory tracking control for quadrotors under uncertain disturbances

Our experimental platform consists of the Parrot Bepob 2 quadrotor and the amovlab R200 ground vehicle, which are used to ...

Robust Trajectory Tracking Control for Underactuated Autonomous Underwater Vehicles

Robust Trajectory Tracking Control for Underactuated Autonomous Underwater Vehicles

Motion

Robust Trajectory Tracking on Insect-Scale Soft-Actuated Aerial Robots with Deep-Learned Tube MPC

Robust Trajectory Tracking on Insect-Scale Soft-Actuated Aerial Robots with Deep-Learned Tube MPC

Work submitted to the 2023 International Conference on Robotics and Automation (ICRA). Preprint available on Arxiv: ...

robust trajectory tracking

robust trajectory tracking

robust trajectory tracking

Robust Control Scheme for trajectory generation and tracking of a quadcopter

Robust Control Scheme for trajectory generation and tracking of a quadcopter

A simple nonlinear

Robust Tracking Control of Aerial Robots

Robust Tracking Control of Aerial Robots

... Access journal paper:

Robust Global Trajectory Tracking on SE(3) via MRP-based adaptive hybrid feedback - Wind Test

Robust Global Trajectory Tracking on SE(3) via MRP-based adaptive hybrid feedback - Wind Test

This work proposes a novel

Robust trajectory tracking performance in the joint space of a moving-base manipulator

Robust trajectory tracking performance in the joint space of a moving-base manipulator

Manipulator

Robust Trajectory Tracking Control for Autonomous Underwater Vehicles in Uncertain Environments

Robust Trajectory Tracking Control for Autonomous Underwater Vehicles in Uncertain Environments

This work was motivated by the problem of

Provably Robust Learning-Based Approach for High-Accuracy Tracking Control of Lagrangian Systems

Provably Robust Learning-Based Approach for High-Accuracy Tracking Control of Lagrangian Systems

In this video, we demonstrate the six