Empirical Study on the Effects of Synthetic Social Structures on Teams of Autonomous Vehicles
- Resource Type
- Conference
- Authors
- Campbell, A.; Wu, A.S.; Garfield, K.; Shumaker, R.; Luke, S.; De Jong, K.A.
- Source
- 2006 IEEE International Conference on Networking, Sensing and Control Networking, Sensing and Control, 2006. ICNSC '06. Proceedings of the 2006 IEEE International Conference on. :440-445 2006
- Subject
- Communication, Networking and Broadcast Technologies
Robotics and Control Systems
Signal Processing and Analysis
Remotely operated vehicles
Mobile robots
Robot kinematics
Intelligent vehicles
Autonomous agents
Computer science
Computer simulation
Information resources
Insects
Ant colony optimization
- Language
The goal of this research is to explore the effects of social interactions between individual autonomous vehicles (AVs) in various problem scenarios. We will take a look at one way to construct the social relationships and generate data from computer simulations to compare the behaviors of each. A difference can be noticed when Synthetic Social Structures (SSS) are used to control the interactions between neighboring AVs. Our experiments show that SSSs can be used to improve team performance on a problem in which a team of AVs must maneuver through a narrow corridor to reach a goal.