John Greenman

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This paper describes the work carried out to develop EcoBot-III, which is a robot with an artificial digestion system. The robot is powered by Microbial Fuel Cells (MFCs) and it is designed to collect food and water from the environment, digest the collected food and at the end of the digestion cycle, egest the waste. EcoBot-III operated successfully for 7(More)
We present an evolutionary robotics investigation into the metabolism constrained homeostatic dynamics of a simulated robot. Unlike existing research that has focused on either energy or motivation autonomy the robot described here is considered in terms of energy-motivation autonomy. This stipulation is made according to a requirement of autonomous systems(More)
Two cationic porphyrins bearing an isothiocyanate group for conjugation to monocolonal antibodies have been synthesized. The two porphyrins conjugated efficiently to three monoclonal antibodies (anti-CD104, anti-CD146 and anti-CD326), which recognize antigens commonly over-expressed on a range of tumour cells. In vitro, all conjugates retained the(More)
A new copper(II) containing bis-macrocyclic CXCR4 chemokine receptor antagonist is shown to have improved binding properties to the receptor protein in comparison to the drug AMD3100 (Plerixafor, Mozobil). The interaction of the metallodrug has been optimized by using ultrarigid chelator units that offer an equatorial site for coordination to the amino acid(More)
Microbial fuel cells (MFCs) generate electricity from waste but to date the technology’s development and scale-up has been held-up by the need to incorporate expensive materials. A costly but vital component is the ion exchange membrane (IEM) which conducts protons between the anode and cathode electrodes. The current study compares natural rubber as an(More)
With the present study we report the first application of a recently proposed model for realistic microbial fuel cells (MFCs) energy generation dynamics, suitable for robotic simulations with minimal and extremely limited computational overhead. A simulated agent was adapted in order to engage in a viable interaction with its environment. It achieved energy(More)