Visual-inertial-aided online mav system identification

C Chen, Y Yang, P Geneva, W Lee… - 2022 IEEE/RSJ …, 2022 - ieeexplore.ieee.org
System modeling and parameter identification of micro aerial vehicles (MAV) are crucial for
robust autonomy, especially under highly dynamic motions. Visual-inertial-aided online …

Decentralized control and state estimation of a flying parallel robot interacting with the environment

S Liu, I Fantoni, A Chriette - Control Engineering Practice, 2024 - Elsevier
Abstract Unmanned Aerial Vehicles (UAVs) have great potential to achieve a variety of tasks
remotely such as aerial grasping, transporting and manipulating objects. Architectures with …

MARLander: A Local Path Planning for Drone Swarms using Multiagent Deep Reinforcement Learning

D Aschu, R Peter, S Karaf, A Fedoseev… - arXiv preprint arXiv …, 2024 - arxiv.org
Achieving safe and precise landings for a swarm of drones poses a significant challenge,
primarily attributed to conventional control and planning methods. This paper presents the …

Wrench Estimation and Impedance-based Control applied to a Flying Parallel Robot Interacting with the Environment

S Liu, I Fantoni, A Chriette, D Six - IFAC-PapersOnLine, 2022 - Elsevier
Multi-vehicle aerial robots present great potential in accomplishing manipulation tasks,
because of their high payload capacity and full manipulability in 3-dimensional space …

Review on Technology of Cooperative Flight for Low-Altitude Unmanned Aerial Swarms

S Zhai, J Han, Z Ma, B Nan, L Zhang… - Chinese Conference on …, 2023 - Springer
Cooperative flight at low altitude is a key ability for swarm attacking weapon systems to
perform tasks in complex environments successfully. This paper reviews the technologies of …