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Journals

J. Zhong, M. Peniak, J. Tani, T. Ogata, A. Cangelosi (submitted). Sensorimotor Input as a Language Generalisation Tool: A Neurorobotics Model for Generation and Generalisation of Noun-Verb Combinations with Sensorimotor Inputs. Autonomous Robots - Springer. (download pdf)

 

Broz, F., Nehaniv, C. L., Belpaeme, T., Bisio, A., Dautenhahn, K., Fadiga, L., Ferrauto, T., Fischer, K., Förster, F., Gigliotta, O., Griffiths, S., Lehmann, H., Lohan, K.S., Lyon, C., Marocco, D., Massera, G., Metta, G., Mohan, V., Morse, A., Nolfi, S., Nori, F., Peniak, M., Pitsch, K., Rohlfing, K.J., Sagerer, G., Sato, Y., Saunders, J., Schillingmann, L., Sciutti, A., Tikhanoff, V., Wrede, B., Zeschel, A., Cangelosi, A. (2014). The ITALK Project: A Developmental Robotics Approach to the Study of Individual, Social, and Linguistic Learning. Topics in cognitive science, 6(3), 534-544. (download pdf)

 

 

Book Chapters

M. Peniak and A. Cangelosi (2014). Multiple Time Scales Recurrent Neural Network for Complex Action Acquisition: Model Enhancement with GPU-CUDA Processing. In: V. Kvasnicka, J. Pospíchal, S. Kozák ,P. Návrat, P. Paroulek (Eds.), Umelá inteligencia a kognitívna veda IV. Slovenská technická univerzita v Bratislave. (download pdf)

 

 

 

Conference Papers

M. Peniak, A. Cangelosi, D.Marocco (2008). Autonomous robot exploration of unknown terrain: A preliminary model of Mars Rover robot. 10th ESA Workshop on Advanced Space Technologies for Robotics and Automation. Noordwijk, Netherlands, November. (download pdf)

 

M. Peniak, D.Marocco, A. Cangelosi (2009). Co-evolving controller and sensing abilities in a simulated Mars Rover explorer. IEEE Congress on Evolutionary Computation (CEC) 2009. Trondheim, Norway, 18th-21nd May. (download pdf)

 

M. Peniak, D. Marocco, S. Ramirez-Contla and A. Cangelosi (2009). An active vision system for navigating unknown environments: An evolutionary robotics approach for space research. In: Proceedings of IJCAI-09 Workshop on Artificial Intelligence in Space, Pasadena, California, 17-18 July 2009. (download pdf)

 

M. Peniak, B. Bentley, D. Marocco, A. Cangelosi, C. Ampatzis, D. Izzo, F. Biscani (2010). An island-model framework for evolving neuro-controllers for planetary rover control. International Joint Conference on Neural Networks (IJCNN) 2010. Barcelona, Spain, 18-23 July. (download pdf)

 

M. Peniak, B. Bentley, D. Marocco, A. Cangelosi, C. Ampatzis, D. Izzo, F. Biscani (2010). An evolutionary approach to designing autonomous planetary rovers. TAROS-2010: Towards Autonomous Robotics Systems Conference, Plymouth, August 2010. (download pdf)

 

M. Peniak, A. Morse, C. Larcombe, S. Ramirez-Contla and A. Cangelosi (2011). Aquila: An Open-Source GPU-Accelerated Toolkit for Cognitive and Neuro-Robotics Research. International Joint Conference on Neural Networks (IJCNN) 2011. San Jose, California, July 31 - August 5, 2011. (download pdf)

 

M. Peniak, D. Marocco, J, Tani, Y. Yamashita, K. Fischer and A. Cangelosi (2011). Multiple Time Scales Recurrent Neural Network for Complex Action Acquisition. International Joint Conference on Development and Learning (ICDL) and Epigenetic Robotics (ICDL-EPIROB) 2011. Frankfurt, Germany, August 24-27, 2011. (download pdf)

 

M. Peniak, A. Morse and A. Cangelosi (2013). Aquila 2.0: Software Architecture for Cognitive Robotics. International Joint Conference on Development and Learning (ICDL) and Epigenetic Robotics (ICDL-EPIROB) 2013. Osaka, Japan, August 18-22, 2013. (download pdf)

 

M. Peniak and A. Cangelosi (2014). Scaling-up Action Learning Neuro-controllers with GPUs.  International Joint Conference on Neural Networks (IJCNN) 2014. Beijing, China, July 6 - July  11, 2014. (download pdf)


 

 

Peer-Reviewed Abstracts

M. Peniak, A. Cangelosi (2008). Autonomous robot exploration of unknown terrain: A preliminary model of Mars Rover robot. Annual Workshop of the European Society for the Study of Cognitive Systems. Genoa, Italy, July. (download pdf)

 

M. Peniak, B. Bentley, D. Marocco, C. Ampatzis, F. Biscani, D. Izzo, A. Cangelosi (2010). Designing Autonomous Robot Controllers for Planetary Exploration: A Model of a Mars Rover. Postgraduate Conference for Computing: Applications and Theory (PCCAT). Exeter, United Kingdom, June. (download pdf) - Best Paper Award

 

M. Peniak, A. Morse, C. Larcombe, S. R. Contla, A. Cangelosi (2011). Aquila: Massively Parallelised Developmental Robotics Framework. Postgraduate Conference for Computing: Applications and Theory (PCCAT). Exeter, United Kingdom, June 2011. (download pdf)

 

 

 

Posters

M. Peniak, B. Bentley, D. Marocco, A. Cangelosi (2009) Evolving Biologically-Inspired Vision for the Exploration of Martian Environments. Poster presented at: CRNS2009 Centre for Robotics and Neural Systems Inaugural Workshop; November 26 - 27, 2009; Plymouth, UK. (download pdf)

 

M. Peniak, D. Marocco, A. Cangelosi (2012) GPU-accelerated Action Acquisition Through Multiple Time Scales Recurrent Neural Network. Poster presented at: GTC2012 GPU Technology Conference; May 14 - 17, 2012; San Jose, California. (download pdf)

 

 

 

Selected Presentations

M. Peniak, R. Babich, J. Tran, D. Marocco (2013) Bio-inspired Active Vision. Talk given at: GTC2013 GPU Technology Conference; March 18 - 21, 2013; San Jose, California. (download pdf)


M. Peniak, A. Cangelosi (2014) GPU Computing for Cognitive Robotics. Talk given at: GTC2014 GPU Technology Conference; March 24 - 27, 2014; San Jose, California. (download pdf)

 

M. Peniak (2014). My Dream About AI. Talk given at: TEDx Bratislava; July 5, 2014; Bratislava, Slovakia. (link to video)

 

M. Peniak (2015) Mobile Visual Search. Talk given at: GTC2015 GPU Technology Conference; March 17 - 20, 2015; San Jose, California. (download pdf)

 


 

Technical Reports

A. Cangelosi, D. Marocco, M. Peniak, B. Bentley, C. Ampatzis, D. Izzo (2010) Evolution in Robotic Islands - Optimising the design of autonomous robot controllers for navigation and exploration of unknown environments. Advanced Concepts Team, The European Space Agency; Noordwijk, The Netherlands. Ariadna-ID: 09-8301.