My research interests fall into the interdisciplinary domain of bio-inspired robotics and computational intelligence. I draw inspiration from nature to design control mechanisms to allow artificial agents to operate in a complex environment and to learn from their experience in an autonomous way. The objective of my research work is two-fold. On the one hand, my aim is to engineer autonomous adaptive systems by designing control mechanisms underpinning complex behavioural, social, cognitive, and communication capabilities. On the other hand, I design computational and robotics models of complex behavioural and cognitive skills to generate new and alternative hypotheses concerning the operational principles of cognition and learning in natural organisms.
Alkilabi, Muhanad H. Mohammed and Narayan, Aparajit and Tuci, Elio (2017) Cooperative object transport with a swarm of e-puck robots: robustness and scalability of evolved collective strategies. Swarm Intelligence . ISSN 1935-3812 (Published online first)
Lyon, Caroline and Nehaniv, Chrystopher L. and Saunders, Joe and Belpaeme, Tony and Bisio, Ambra and Fischer, Kerstin and Förster, Frank and Lehmann, Hagen and Metta, Giorgio and Mohan, Vishwanathan and Morse, Anthony and Nolfi, Stefano and Nori, Francesco and Rohlfing, Katharina and Sciutti, Alessandra and Tani, Jun and Tuci, Elio and Wrede, Britta and Zeschel, Arne and Cangelosi, Angelo (2016) Embodied language learning and cognitive bootstrapping: methods and design principles. International Journal of Advanced Robotic Systems, 13 (3). p. 105. ISSN 1729-8806
Tuci, Elio and Rabérin, Alexandre (2015) On the design of generalist strategies for swarms of simulated robots engaged in a task-allocation scenario. Swarm Intelligence, 9 (4). pp. 267-290. ISSN 1935-3812
Mohammed Alkilabi, Muhanad H. and Narayan, Aparajit and Tuci, Elio (2016) Design and analysis of proximate mechanisms for cooperative transport in real robots. In: ANTS 2016:10th International Conference on Swarm Intelligence, 07-09 Sept 2016, Brussels, Belgium.