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Hierarchical fuzzy rule based systems using an information theoretic approach (2006)
Journal Article
Waldock, A., Carse, B., & Melhuish, C. (2006). Hierarchical fuzzy rule based systems using an information theoretic approach. Soft Computing, 10(10), 867-879. https://doi.org/10.1007/s00500-005-0013-y

This paper proposes a novel anytime algorithm for the construction of a Hierarchical Fuzzy Rule Based System using an information theoretic approach to specialise rules that do not effectively model the decision space. The amount of uncertainty toler... Read More about Hierarchical fuzzy rule based systems using an information theoretic approach.

EcoBot-II: An artificial agent with a natural metabolism (2005)
Journal Article
Ieropoulos, I., Melhuish, C., Greenman, J., & Horsfield, I. (2005). EcoBot-II: An artificial agent with a natural metabolism. International Journal of Advanced Robotic Systems, 2(4), 295-300. https://doi.org/10.5772/5777

In this paper we report the development of the robot EcoBot-II, which exhibits a primitive form of artificial symbiosis. Microbial Fuel Cells (MFCs) were used as the onboard energy supply, which consisted of bacterial cultures from sewage sludge and... Read More about EcoBot-II: An artificial agent with a natural metabolism.

Empirically inspired simulated electro-mechanical model of the rat mystacial follicle-sinus complex (2004)
Journal Article
Mitchinson, B., Gurney, K. N., Redgrave, P., Melhuish, C., Pipe, A. G., Pearson, M., …Prescott, T. J. (2004). Empirically inspired simulated electro-mechanical model of the rat mystacial follicle-sinus complex. Proceedings of the Royal Society B: Biological Sciences, 271(1556), 2509-2516. https://doi.org/10.1098/rspb.2004.2882

In whiskered animals, activity is evoked in the primary sensory afferent cells (trigeminal nerve) by mechanical stimulation of the whiskers. In some cell populations this activity is correlated well with continuous stimulus parameters such as whisker... Read More about Empirically inspired simulated electro-mechanical model of the rat mystacial follicle-sinus complex.

Brood sorting by ants: Two phases and differential diffusion (2004)
Journal Article
Sendova-Franks, A. B., Scholes, S. R., Franks, N. R., & Melhuish, C. (2004). Brood sorting by ants: Two phases and differential diffusion. Animal Behaviour, 68(5), 1095-1106. https://doi.org/10.1016/j.anbehav.2004.02.013

Leptothorax ant colonies sort their brood in concentric annuli with the smallest items in the middle and the largest on the periphery. Such brood sorting is a prime example of collective structure formation by social insects. Its underlying mechanism... Read More about Brood sorting by ants: Two phases and differential diffusion.

Algorithms for building annular structures with minimalist robots inspired by brood sorting in ant colonies (2004)
Journal Article
Wilson, M., Melhuish, C., Sendova-Franks, A. B., & Scholes, S. (2004). Algorithms for building annular structures with minimalist robots inspired by brood sorting in ant colonies. Autonomous Robots, 17(2-3), 115-136. https://doi.org/10.1023/B%3AAURO.0000033969.52486.3d

This study shows that a task as complicated as multi-object 'ant-like annular sorting' can be accomplished with 'minimalist' solutions employing simple mechanisms and minimal hardware. It provides an alternative to 'patch sorting' for multi-object so... Read More about Algorithms for building annular structures with minimalist robots inspired by brood sorting in ant colonies.

Experimental implementation of mobile robot taxis with onboard Belousov-Zhabotinsky chemical medium (2004)
Journal Article
Ratcliffe, N., Adamatzky, A., Costello, B. D. L., & Melhuish, C. (2004). Experimental implementation of mobile robot taxis with onboard Belousov-Zhabotinsky chemical medium. Materials Science and Engineering: C, 24(4), 541-548. https://doi.org/10.1016/j.msec.2004.02.002

We discuss the first-ever experimental realization of the onboard excitable chemical controller for stimulus-guided navigation of mobile robots. We demonstrate that the Belousov-Zhabotinsky (BZ) reaction in the form of an onboard thin layer chemical... Read More about Experimental implementation of mobile robot taxis with onboard Belousov-Zhabotinsky chemical medium.

Experimental reaction-diffusion chemical processors for robot path planning (2003)
Journal Article
Adamatzky, A., de Lacy Costello, B., Ratcliffe, N. M., & Melhuish, C. (2003). Experimental reaction-diffusion chemical processors for robot path planning. Journal of Intelligent and Robotic Systems, 37(3), 233-249. https://doi.org/10.1023/A%3A1025414424756

In this paper we discuss the experimental implementation of a chemical reaction-diffusion processor for robot motion planning in terms of finding the shortest collision-free path for a robot moving in an arena with obstacles. These reaction-diffusion... Read More about Experimental reaction-diffusion chemical processors for robot path planning.

TCS learning classifier system controller on a real robot (2002)
Journal Article
Hurst, J., Bull, L., & Melhuish, C. (2002). TCS learning classifier system controller on a real robot. Lecture Notes in Artificial Intelligence, 2439, 588-597. https://doi.org/10.1007/3-540-45712-7_57

To date there have been few implementation of Holland’s Learning Classifier System (LCS) on real robots. The paper introduces a Temporal Classifier System (TCS), an LCS derived from Wilson’s ZCS. Traditional LCS have the ability to generalise over th... Read More about TCS learning classifier system controller on a real robot.

ZCS and TCS learning classifier system controllers on real robots (2002)
Journal Article
Hurst, J., Bull, L., & Melhuish, C. (2002). ZCS and TCS learning classifier system controllers on real robots

To date there has only been one implementation of Holland's Learning Classifier System (LCS) on real robots. In this paper the use of Wilson's ZCS system is described for an obstacle avoidance task. Although the task is simple it does present some ad... Read More about ZCS and TCS learning classifier system controllers on real robots.