A survey of formation control and motion planning of multiple unmanned vehicles
Reads0
Chats0
TLDR
A detailed survey to review a range of techniques related to the operation of multi-vehicle systems in different environmental domains, including land based, aerospace and marine with the specific focuses placed on formation control and cooperative motion planning.Abstract:
The increasing deployment of multiple unmanned vehicles systems has generated large research interest in recent decades. This paper therefore provides a detailed survey to review a range of techniques related to the operation of multi-vehicle systems in different environmental domains, including land based, aerospace and marine with the specific focuses placed on formation control and cooperative motion planning. Differing from other related papers, this paper pays a special attention to the collision avoidance problem and specifically discusses and reviews those methods that adopt flexible formation shape to achieve collision avoidance for multi-vehicle systems. In the conclusions, some open research areas with suggested technologies have been proposed to facilitate the future research development.read more
Citations
More filters
Journal ArticleDOI
A Survey on Unmanned Surface Vehicles for Disaster Robotics: Main Challenges and Directions.
Vitor A. M. Jorge,Roger Granada,Renan G. Maidana,Darlan A. Jurak,Guilherme Heck,Alvaro Negreiros,Davi Henrique dos Santos,Luiz Marcos Garcia Gonçalves,Alexandre M. Amory +8 more
TL;DR: This work demonstrates that there are few current deployments in disaster scenarios, with most of the research in the area focusing on the technological aspects of USV hardware and software, such as Guidance Navigation and Control, and not focusing on their actual importance for DM.
Journal ArticleDOI
A new consensus theory-based method for formation control and obstacle avoidance of UAVs
TL;DR: Simulation results demonstrate that the ICA can make UAVs with different initial states form the specified formation while satisfying all the constraints, and a safe and efficient flight for UAV formation can be ensured with the obstacle avoidance algorithm.
Journal ArticleDOI
Multi-Agent Systems for Search and Rescue Applications
TL;DR: Multi-agent systems are not currently ready for deployment in search and rescue applications; however, progress is being made in a number of critical domains.
Journal ArticleDOI
A Survey on the Convergence of Edge Computing and AI for UAVs: Opportunities and Challenges
TL;DR: This article provides a comprehensive analysis of the impact of edge AI on key UAV technical aspects and applications and explores UAV-based edge AI implementation challenges, lessons learned, and future research directions.
Journal ArticleDOI
Path planning for unmanned surface vehicle based on predictive artificial potential field
TL;DR: The more reasonable path generated by predictive artificial potential field reduces sailing time and helps conserve more energy for unmanned surface vehicle and can solve concave local minimum problem and enhance the reachability in special scenario.
References
More filters
Journal ArticleDOI
Real-time obstacle avoidance for manipulators and mobile robots
TL;DR: This paper reformulated the manipulator con trol problem as direct control of manipulator motion in operational space—the space in which the task is originally described—rather than as control of the task's corresponding joint space motion obtained only after geometric and geometric transformation.
Book
Real-time obstacle avoidance for manipulators and mobile robots
TL;DR: This paper reformulated the manipulator control problem as direct control of manipulator motion in operational space-the space in which the task is originally described-rather than as control of the task's corresponding joint space motion obtained only after geometric and kinematic transformation.
Journal ArticleDOI
Behavior-based formation control for multirobot teams
Tucker Balch,Ronald C. Arkin +1 more
TL;DR: New reactive behaviors that implement formations in multirobot teams are presented and evaluated and demonstrate the value of various types of formations in autonomous, human-led and communications-restricted applications, and their appropriateness in different types of task environments.
Journal ArticleDOI
Randomized kinodynamic planning
TL;DR: In this paper, the authors presented the first randomized approach to kinodynamic planning (also known as trajectory planning or trajectory design), where the task is to determine control inputs to drive a robot from an unknown position to an unknown target.
Journal ArticleDOI
A survey of multi-agent formation control
TL;DR: A survey of formation control of multi-agent systems focuses on the sensing capability and the interaction topology of agents, and categorizes the existing results into position-, displacement-, and distance-based control.
Related Papers (5)
Path planning algorithm for unmanned surface vehicle formations in a practical maritime environment
Yuanchang Liu,Richard Bucknall +1 more