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All Outputs (8)

Adaptive foraging for simulated and real robotic swarms: The dynamical response threshold approach (2016)
Journal Article
Castello, E., Yamamoto, T., Liu, W., Winfield, A. F., Nakamura, Y., & Ishiguro, H. (2016). Adaptive foraging for simulated and real robotic swarms: The dynamical response threshold approach. Swarm Intelligence, 10(1), 1-31

Developing self-organised swarm systems capable of adapting to environmental changes as well as to dynamic situations is a complex challenge. An efficient labour division model, with the ability to regulate the distribution of work among swarm robots... Read More about Adaptive foraging for simulated and real robotic swarms: The dynamical response threshold approach.

On the evolution of behaviors through embodied imitation (2015)
Journal Article
Erbas, M. D., Bull, L., & Winfield, A. F. (2015). On the evolution of behaviors through embodied imitation. Artificial Life, 21(2), 141-165. https://doi.org/10.1162/ARTL_a_00164

© 2015 Massachusetts Institute of Technology. Abstract This article describes research in which embodied imitation and behavioral adaptation are investigated in collective robotics. We model social learning in artificial agents with real robots. The... Read More about On the evolution of behaviors through embodied imitation.

Editorial: Special issue on ground robots operating in dynamic, unstructured and large-scale outdoor environments (2015)
Journal Article
Winfield, A., Lacroix, S., Schneider, F., Wildermuth, D., & Winfield, A. F. (2015). Editorial: Special issue on ground robots operating in dynamic, unstructured and large-scale outdoor environments. Journal of Field Robotics, 32(4), 445-446. https://doi.org/10.1002/rob.21604

Real-world outdoor applications of ground robots have, to date, been limited primarily to remote inspection of suspected explosive devices and, with less success, to the broader domain of remote survey and inspection in hazardous environments. Such r... Read More about Editorial: Special issue on ground robots operating in dynamic, unstructured and large-scale outdoor environments.

Embodied imitation-enhanced reinforcement learning in multi-agent systems (2013)
Journal Article
Erbas, M. D., Winfield, A. F., & Bull, L. (2014). Embodied imitation-enhanced reinforcement learning in multi-agent systems. Adaptive Behavior, 22(1), 31-50. https://doi.org/10.1177/1059712313500503

Imitation is an example of social learning in which an individual observes and copies another's actions. This paper presents a new method for using imitation as a way of enhancing the learning speed of individual agents that employ a well-known reinf... Read More about Embodied imitation-enhanced reinforcement learning in multi-agent systems.

Towards temporal verification of swarm robotic systems (2012)
Journal Article
Dixon, C., Winfield, A. F., Fisher, M., & Zeng, C. (2012). Towards temporal verification of swarm robotic systems. Robotics and Autonomous Systems, 60(11), 1429-1441. https://doi.org/10.1016/j.robot.2012.03.003

A robot swarm is a collection of simple robots designed to work together to carry out some task. Such swarms rely on the simplicity of the individual robots; the fault tolerance inherent in having a large population of identical robots; and the self-... Read More about Towards temporal verification of swarm robotic systems.

Open-hardware e-puck Linux extension board for experimental swarm robotics research (2011)
Journal Article
Liu, W., & Winfield, A. F. (2011). Open-hardware e-puck Linux extension board for experimental swarm robotics research. Microprocessors and Microsystems, 35(1), 60-67. https://doi.org/10.1016/j.micpro.2010.08.002

In this paper we describe the implementation of a Linux extension board for the e-puck educational mobile robot, designed to enhance the computation, memory and networking performance of the robot at very low cost. The extension board is based on a 3... Read More about Open-hardware e-puck Linux extension board for experimental swarm robotics research.

Towards energy optimization: Emergent task allocation in a swarm of foraging robots (2007)
Journal Article
Liu, W., Winfield, A. F., Sa, J., Chen, J., & Dou, L. (2007). Towards energy optimization: Emergent task allocation in a swarm of foraging robots. Adaptive Behavior, 15(3), 289-305. https://doi.org/10.1177/1059712307082088

This article presents a simple adaptation mechanism to automatically adjust the ratio of foragers to resters (division of labor) in a swarm of foraging robots and hence maximize the net energy income to the swarm. Three adaptation rules are introduce... Read More about Towards energy optimization: Emergent task allocation in a swarm of foraging robots.