Flocks, herds and schools: A distributed behavioral model
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Robot Motion Planning and Control
Robot Motion Planning and Control
Journal of Intelligent and Robotic Systems
Tracking-error model-based predictive control for mobile robots in real time
Robotics and Autonomous Systems
Application of Reactive Multiagent System to Linear Vehicle Platoon
ICTAI '07 Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence - Volume 02
Bending Virtual Spring-Damper: A Solution to Improve Local Platoon Control
ICCS '09 Proceedings of the 9th International Conference on Computational Science: Part I
Short communication: New results in modelling derived from Bayesian filtering
Knowledge-Based Systems
Takagi-Sugeno vs. Lyapunov-based tracking control for a wheeled mobile robot
WSEAS Transactions on Systems and Control
Dynamics and Cooperative Object Manipulation Control of Suspended Mobile Manipulators
Journal of Intelligent and Robotic Systems
Hybrid control structure for multi-robot formation
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part II
A control strategy for platoons of differential drive wheeled mobile robot
Robotics and Autonomous Systems
Adaptive Robust Self-Balancing and Steering of a Two-Wheeled Human Transportation Vehicle
Journal of Intelligent and Robotic Systems
Reactive multi-agent approach to local platoon control: stability analysis and experimentations
International Journal of Intelligent Systems Technologies and Applications
Adaptive Neuro-fuzzy Network Control for a Mobile Robot
Journal of Intelligent and Robotic Systems
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Future transportation systems will require a number of drastic measures, mostly to lower traffic jams and air pollution in urban areas. Automatically guided vehicles capable of driving in a platoon fashion will represent an important feature of such systems. Platooning of a group of automated wheeled mobile robots relying on relative sensor information only is addressed in this paper. Each vehicle in the platoon must precisely follow the path of the vehicle in front of it and maintain the desired safety distance to that same vehicle. Vehicles have only distance and azimuth information to the preceding vehicle where no inter-vehicle communication is available. Following vehicles determine their reference positions and orientations based on estimated paths of the vehicles in front of them. Vehicles in the platoon are then controlled to follow the estimated trajectories. Then presented platooning control strategies are experimentally validated by experiments on a group of small-sized mobile robots and on a Pioneer 3AT mobile robot. The results and robustness analysis show the proposed platooning approach applicability.