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Technologist

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iCub

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+39 010 71781 881

About

Vadim Tikhanoff graduated in Computer Science at the University of Essex, UK in 2004, presenting a study based on Artificial Intelligence and in particular Multi-Agent Systems. In 2005 he accomplished his MSc in Interactive Intelligent Systems presenting a work in Interactive Entertainment Robotics at the University of Plymouth UK. In 2009 he accomplished his PhD at the University of Plymouth with the thesis "Development of Cognitive Capabilities in Humanoid Robots."
During his PhD he was a visiting student at the Italian Institute of Technology (IIT) for 10 months working in the Robotics, Brain & Cognitive Sciences Department under the supervision of Prof. Giorgio Metta where, apart from his research, he developed the prototype simulator of the iCub Humanoid Robot, which is widely used in robotics and cognitive modeling laboratories.
Currently he has a senior post-doc position at the Italian Institute of Technology (IIT) working in the iCub Facility.

Vadim Tikhanoff has a background in Artificial Intelligence and Robotic Systems and is now focusing on the development of innovative techniques and approaches for the design of skills in a robot to interact with the surrounding physical world and manipulate objects in an adaptive, productive and efficient manner.

Projects

L'attuale progetto di ricerca verterà sullo sviluppo di tecniche e approcci innovativi per ricreare, in un robot, le abilità che permettono di interagire con il mondo fisico che lo circonda e poter manipolare gli oggetti in maniera adattiva produttiva ed efficiente.
Lo scopo principale è quello di sviluppare un controllo che impari a usare i possibili effectors per risolvere problemi cognitivi, potenzialmente trasferendo e generalizzando le capacità appena acquisite. Gli esperimenti, a livello cognitivo, verranno svolti su iCub Robot sfruttando e implementando le sue capacità visive, uditive, tattili e sensoriali.

The current research project deals with the development of innovative techniques and approaches for the design of skills in a robot to interact with the surrounding physical world and manipulate objects in an adaptive, productive and efficient manner.
In particular, one key element of this research is the integration between the representation of the peripersonal space (tactile, proprioceptive, visual and motor) and the ability to move different effectors. The goal is to develop a controller that learns to use any of the available effectors to solve cognitive tasks (tool use), potentially by transferring and generalizing already acquired skills. Cognitive experiments will focus on the humanoid iCub robot with vision, touch, audition, and proprioceptive sensorial abilities

Selected Publications

Selected publications:

• Browatzki, B.; Tikhanoff V.; Metta G.; Bulthoff, H.; Wallraven, C. (2012).Active Object Recognition on a Humanoid Robot. IEEE International Conference on Robotics and Automation IROS 2012 St. Paul Minnesota USA May 14-18 (Best paper award nomination)

• Kruger, V.; Tikhanoff, V.; Natale, L.; Sandini G. (2012). Imitation Learning of Non-Linear Point-to-Point Robot Motions using Dirichlet Processes IEEE International Conference on Robotics and Automation IROS 2012 St. Paul Minnesota USA May 14-18

• Tikhanoff V., Cangelosi A., Metta G. (2011). Language understanding in humanoid robots: iCub simulation experiments. IEEE Transactions on Autonomous Mental Development. 3(1), 17-29 


• Fontanari J.F., Tikhanoff V., Cangelosi A., Ilinc R. & Perlovsky L. Crosssituational learning of object-word mapping using Neural Modeling Fields. Neural Networks 2009

• Borisyuk R., Kazanovich Y., Chik D., Tikhanoff V. & Cangelosi A. (2009) A neural model of selective attention and object segmentation in the visual scene: An approach based on partial synchronization and star-like architecture of connections. Neural Networks

• Courtney P., Michel O., Cangelosi A., Tikhanoff V., Metta G., Natale L., Nori F., & Kernbach S. 2009. Cognitive systems platforms using open source. In: R. Madhavan, E. Tunstel & E. Messina. Performance Evaluation and Benchmarking of Intelligent Systems, Springer.

• Fontanari F, Tikhanoff V, Cangelosi A, Perlovsky L. A cross-situational algorithm for learning a lexicon using Neural Modelling Fields. Proceedings of IJCNN09, International Joint Conference on Neural Networks, Atlanta June 2009

• Tikhanoff V, Fitzpatrick P, Nori F, Natale L, Metta G, Cangelosi A. The iCub Humanoid Robot Simulator. International Conference on Intelligent Robots and Systems IROS’08, Nice France 2008

• Tikhanoff V, Fitzpatrick P, Nori F, Metta G, Natale L, Cangelosi A, An Open Source Simulator for Cognitive Robotics Research: The Protorype of the iCub Humanoid Robot Simulator. Performance Metrics for Intelligent Systems Workshop. PerMIS’08, National Institute of Standards and Technology (NIST), Gaithersburg, MD, 20899 August 2008

• Tikhanoff V, Cangelosi A, Metta G. Towards language acquisition in autonomous robots. Alife XI Winchester August 2008

• Tikhanoff V, Cangelosi A, Metta G. Emergence of Communication in Autonomous Robots. European Society for the study of cognitive systems ESSCS, Genoa Italy 2008

• Nava N, Tikhanoff V, Metta G, Sandini G, Kinematic and Dynamic Simulations for the design of RobotCub Upper-Body Structure ESDA Israel 2008

• Cangelosi A, Tikhanoff V, Fontanari J, Hourdakis E. Integrating Language and Cognition: A Cognitive Robotics Approach. IEEE Computational Intelligence Magazine August 2007

• Tikhanoff V, Cangelosi A, Fontanari J, Perlovsky L. Scaling up of action repertoire in linguistic cognitive agents. KIMAS 07 Integration of Knowledge Intensive Multi- Agent Systems. Waltham April 2007

• Tikhanoff V, Fontanari J, Cangelosi A, Perlovsky L. Language and Cognition Integration through Modeling Field Theory: Simulations on category formation for symbol grounding. ICANN 06 International Conference on Artificial Neural Networks Athens, September 2006

• Cangelosi A, Tikhanoff V. Integrating Action and Language in Cognitive Robots: Experiments with Modeling Field Theory. Fusion 2006 Conference Satellite EOARD workshop Firenze July 2006

• Cangelosi A, Hourdakis E, Tikhanoff V. Language acquisition and symbol grounding transfer with neural networks and cognitive robots. Proceedings of IJCNN2006. International Joint Conference on Neural Networks Vancouver July 2006

• Miranda E, Tikhanoff V, Music Composition by an Autonomous Robot: An Approach to AIBO interaction. Proceedings of TAROS’05. Towards Autonomous Robotic Systems. Imperial College London 2005

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I numeri di IIT

L’Istituto Italiano di Tecnologia (IIT) è una fondazione di diritto privato - cfr. determinazione Corte dei Conti 23/2015 “IIT è una fondazione da inquadrare fra gli organismi di diritto pubblico con la scelta di un modello di organizzazione di diritto privato per rispondere all’esigenza di assicurare procedure più snelle nella selezione non solo nell’ambito nazionale dei collaboratori, scienziati e ricercatori ”.

IIT è sotto la vigilanza del Ministero dell'Istruzione, dell'Università e della Ricerca e del Ministero dell'Economia e delle Finanze ed è stato istituito con la Legge 326/2003. La Fondazione ha l'obiettivo di promuovere l'eccellenza nella ricerca di base e in quella applicata e di favorire lo sviluppo del sistema economico nazionale. La costruzione dei laboratori iniziata nel 2006 si è conclusa nel 2009.

Lo staff complessivo di IIT conta circa 1440 persone. L’area scientifica è rappresentata da circa l’85% del personale. Il 45% dei ricercatori proviene dall’estero: di questi, il 29% è costituito da stranieri provenienti da oltre 50 Paesi e il 16% da italiani rientrati. Oggi il personale scientifico è composto da circa 60 principal investigators, circa 110 ricercatori e tecnologi di staff, circa 350 post doc, circa 500 studenti di dottorato e borsisti, circa 130 tecnici. Oltre 330 posti su 1400 creati su fondi esterni. Età media 34 anni. 41% donne / 59 % uomini.

Nel 2015 IIT ha ricevuto finanziamenti pubblici per circa 96 milioni di euro (80% del budget), conseguendo fondi esterni per 22 milioni di euro (20% budget) provenienti da 18 progetti europei17 finanziamenti da istituzioni nazionali e internazionali, circa 60 progetti industriali

La produzione di IIT ad oggi vanta circa 6990 pubblicazioni, oltre 130 finanziamenti Europei e 11 ERC, più di 350 domande di brevetto attive, oltre 12 start up costituite e altrettante in fase di lancio. Dal 2009 l’attività scientifica è stata ulteriormente rafforzata con la creazione di dieci centri di ricerca nel territorio nazionale (a Torino, Milano, Trento, Parma, Roma, Pisa, Napoli, Lecce, Ferrara) e internazionale (MIT ed Harvard negli USA) che, unitamente al Laboratorio Centrale di Genova, sviluppano i programmi di ricerca del piano scientifico 2015-2017.

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IIT: the numbers

Istituto Italiano di Tecnologia (IIT) is a public research institute that adopts the organizational model of a private law foundation. IIT is overseen by Ministero dell'Istruzione, dell'Università e della Ricerca and Ministero dell'Economia e delle Finanze (the Italian Ministries of Education, Economy and Finance).  The Institute was set up according to Italian law 326/2003 with the objective of promoting excellence in basic and applied research andfostering Italy’s economic development. Construction of the Laboratories started in 2006 and finished in 2009.

IIT has an overall staff of about 1,440 people. The scientific staff covers about 85% of the total. Out of 45% of researchers coming from abroad 29% are foreigners coming from more than 50 countries and 16% are returned Italians. The scientific staff currently consists of approximately 60 Principal Investigators110 researchers and technologists350 post-docs and 500 PhD students and grant holders and 130 technicians. External funding has allowed the creation of more than 330 positions . The average age is 34 and the gender balance proportion  is 41% female against 59% male.

In 2015 IIT received 96 million euros in public funding (accounting for 80% of its budget) and obtained 22 million euros in external funding (accounting for 20% of its budget). External funding comes from 18 European Projects, other 17 national and international competitive projects and approximately 60 industrial projects.

So far IIT accounts for: about 6990 publications, more than 130 European grants and 11 ERC grants, more than 350 patents or patent applications12 up start-ups and as many  which are about to be launched. The Institute’s scientific activity has been further strengthened since 2009 with the establishment of 11 research nodes throughout Italy (Torino, Milano, Trento, Parma, Roma, Pisa, Napoli, Lecce, Ferrara) and abroad (MIT and Harvard University, USA), which, along with the Genoa-based Central Lab, implement the research programs included in the 2015-2017 Strategic Plan.