Formation Control and Collision Avoidance for Multi-agent Non-holonomic Systems: Theory and Experiments
By Silvia Mastellone, Dusan M. Stipanovic, Christopher R. Graunke, Koji A. Intlekofer, Mark W. Spong. Int. J. Robotics Res., 2008
437 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition, Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/3bdfb5e272aca28c27087f9ddb967b9b3b1e792a
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Zhouhua Peng
- Dan Wang
- Philip M. Dames
- Shaojie Shen
- Aditya A. Paranjape
- Vijay R. Kumar
- Chau Yuen
- Ming Xin
In Computer Vision and Pattern Recognition
- Vijay R. Kumar
- Shaojie Shen
- Chau Yuen
- Soon-Jo Chung
- Philip M. Dames
- Zhouhua Peng
- Aditya A. Paranjape
- Davide Scaramuzza
In Control and Systems Engineering
- Zhouhua Peng
- Tie-shan Li
- Dan Wang
- Shaojie Shen
- Soon-Jo Chung
- Philip M. Dames
- Aditya A. Paranjape
- Vijay R. Kumar
Citations in the corpus
- Recent Advances in Indoor Localization: A Survey on Theoretical Approaches and Applications (2017, background): “Similarly, the work in [122] used the idea of forces among robots to avoid obstacles.”
- A Survey on Aerial Swarm Robotics (2018, methodology): “been derived and demonstrated for quadrotors using modified temporal coordinates [95], for Dubin’s vehicles using local potential functions [96], and for spacecraft [97].”
- Output-Feedback Cooperative Formation Maneuvering of Autonomous Surface Vehicles With Connectivity Preservation and Collision Avoidance (2020, background): “In order to avoid collisions with static obstacles in complex ocean environment, the following potential functions are introduced [45]:”
- Integrated Optimal Formation Control of Multiple Unmanned Aerial Vehicles (2012, background): “Compared to the penalty function adopted in [15], and [35]–[37], the avoidance penalty function (40) is similar in part but different in the sense of avoidance strategy.”