Trajectory planning of load transportation with multi-quadrotors based on reinforcement learning algorithm
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Trajectory planning of load transportation with multi-quadrotors based on reinforcement learning algorithm
Authors
Keywords
Cable-suspended payload, Quadrotor, Reinforcement learning, Trajectory planning, Unmanned aerial vehicle
Journal
AEROSPACE SCIENCE AND TECHNOLOGY
Volume 116, Issue -, Pages 106887
Publisher
Elsevier BV
Online
2021-06-10
DOI
10.1016/j.ast.2021.106887
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Reinforcement learning based two-level control framework of UAV swarm for cooperative persistent surveillance in an unknown urban area
- (2020) Yuxuan Liu et al. AEROSPACE SCIENCE AND TECHNOLOGY
- An intelligent cooperative mission planning scheme of UAV swarm in uncertain dynamic environment
- (2020) Ziyang Zhen et al. AEROSPACE SCIENCE AND TECHNOLOGY
- Relay manoeuvre based fixed-time synchronized tracking control for UAV transport system
- (2020) Jawhar Ghommam et al. AEROSPACE SCIENCE AND TECHNOLOGY
- A novel cable-suspended quadrotor transportation system: From theory to experiment
- (2020) Ti Chen et al. AEROSPACE SCIENCE AND TECHNOLOGY
- Disturbance observer-based control for small nonlinear UAV systems with transient performance constraint
- (2020) Jieqing Chen et al. AEROSPACE SCIENCE AND TECHNOLOGY
- Morphing Control of a New Bionic Morphing UAV with Deep Reinforcement Learning
- (2019) Dan Xu et al. AEROSPACE SCIENCE AND TECHNOLOGY
- Novel docking controller for autonomous aerial refueling with probe direct control and learning-based preview method
- (2019) Yiheng Liu et al. AEROSPACE SCIENCE AND TECHNOLOGY
- A Survey on Load Transportation Using Multirotor UAVs
- (2019) Daniel K. D. Villa et al. JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS
- Fixed-time integral-type sliding mode control for the quadrotor UAV attitude stabilization under actuator failures
- (2019) Wenquan Gong et al. AEROSPACE SCIENCE AND TECHNOLOGY
- Adaptive control for multi-rotor UAVs autonomous ship landing with mission planning
- (2019) Kewei Xia et al. AEROSPACE SCIENCE AND TECHNOLOGY
- Energy-Based Nonlinear Adaptive Control Design for the Quadrotor UAV System With a Suspended Payload
- (2019) Sen Yang et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- An Online Trajectory Planning Approach for a Quadrotor UAV With a Slung Payload
- (2019) Bin Xian et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Cooperative aerial lift and manipulation (CALM)
- (2018) Hossein Rastgoftar et al. AEROSPACE SCIENCE AND TECHNOLOGY
- Two-time-scale control of a multirotor aircraft for suspended load transportation
- (2018) Emanuele L. de Angelis et al. AEROSPACE SCIENCE AND TECHNOLOGY
- Cooperative load transportation using multiple UAVs
- (2018) Behzad Shirani et al. AEROSPACE SCIENCE AND TECHNOLOGY
- Cooperative Control for Multirotors Transporting an Unknown Suspended Load Under Environmental Disturbances
- (2018) Kristian Klausen et al. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
- UAV-Enabled Intelligent Transportation Systems for the Smart City: Applications and Challenges
- (2017) Hamid Menouar et al. IEEE COMMUNICATIONS MAGAZINE
- The application of unmanned aircraft systems to plant protection in China
- (2017) Shulin Yang et al. PRECISION AGRICULTURE
- Agile Load Transportation : Safe and Efficient Load Manipulation with Aerial Robots
- (2012) Ivana Palunko et al. IEEE ROBOTICS & AUTOMATION MAGAZINE
- Adaptive Control of Quadrotor UAVs: A Design Trade Study With Flight Evaluations
- (2012) Zachary T. Dydek et al. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started