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Yanlong Huang

Post Doc

Research Line

Advanced Robotics

Center

IIT Central Research Labs Genova

Contacts

yanlong.huang@iit.it

Social profiles

github

About

I am interested in imitation learning, optimal control, reinforcement learning, motion planning and their applications to robotic systems. Plese see my research experience as follows:

- Italian Institute of Technology, Genova, Italy (2017-present) 
Develop novel movement primitives for imitation learning as well as reinforcement learning associated with high-dimensional states/actions.

- Max-Planck Institute for Intelligent Systems, Tübingen, Germany (2013-2016) 
Developed regression and reinforcement learning algorithm, applied them to an anthropomorphic robot table tennis. Meanwhile, a more general robot table tennis setup was developed.

- Institute of Automation, Chinese Academy of Sciences, Beijing, China (2010-2013) 
Formulated the learning of a robot table tennis as a data-driven learning problem. Besides, the integration of human knowledge and memory-based learning approaches was developed. 

Selected Publications

  1. Y. Huang, F. J. Abu-Dakka, J. Silvério and D. G. Caldwell. Towards orientation learning and adaptation in Cartesian spacearXiv:1907.03918, 2019.

  2. J. Silvério, Y. Huang, F. J. Abu-Dakka, L. Rozo, D. G. Caldwell. Uncertainty-aware imitation learning using kernelized movement primitives, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Macau, China, 2019. [video]

  3. A. Duan, R. Camoriano, D. Ferigo, Y. Huang, D. Calandriello, L. Rosasco, D. Pucci. Learning to sequence multiple tasks with competing constraints, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Macau, China, 2019.

  4. Y. Huang, L. Rozo, J. Silvério, and D. G. Caldwell. Kernelized movement primitives, International Journal of Robotics Research (IJRR), 38(7):833-852, 2019. [video]

  5. Y. Huang, F. J. Abu-Dakka, J. Silvério and D. G. Caldwell. Generalized orientation learning in robot task spaceIEEE International Conference on Robotics and Automation (ICRA), Montreal, Canada, pp. 2531-2537, 2019. [video]

  6. Y. Huang, L. Rozo, J. Silvério and D. G. Caldwell. Non-parametric imitation learning of robot motor skillsIEEE International Conference on Robotics and Automation (ICRA), Montreal, Canada, pp. 5266-5272, 2019.

  7. J. Silvério, Y. Huang, L. Rozo, and D. G. Caldwell. An uncertainty-aware minimal intervention control strategy learned from demonstrations, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Madrid, Spain, pp. 6065-6071, 2018. [video]

  8. J. Silvério, Y. Huang, L. Rozo, S. Calinon, and D. G. Caldwell. Probabilistic learning of torque controllers from kinematic and force constraints, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Madrid, Spain, pp. 6552-6559, 2018. [video]

  9. Y. Huang, J. Silvério, and D. G. Caldwell. Towards minimal intervention control with competing constraintsIEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Madrid, Spain, pp. 733-738, 2018.

  10. Y. Huang, J. Silvério, L. Rozo, and D. G. Caldwell. Generalized task-parameterized skill learning, IEEE International Conference on Robotics and Automation (ICRA), Brisbane, Australia, pp. 5667-5674, 2018. [video]

  11. Y. Huang, J. Silvério, L. Rozo, and D. G. Caldwell. Hybrid probabilistic trajectory optimization using null-space explorationIEEE International Conference on Robotics and Automation (ICRA), Brisbane, Australia, pp. 7226-7232, 2018. [video]

  12. Y. Huang, D. Büchler, O. Koc, B. Schölkopf, and J. Peters. Jointly learning trajectory generation and hitting point prediction in robot table tennisIEEE International Conference on Humanoid Robots (HUMANOIDS), Cancun, Mexico, pp. 650-655, 2016. [video]

  13. Y. Huang, B. Schölkopf, and J. Peters. Learning optimal striking points for a ping-pong playing robotIEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Hamburg, Germany, pp. 4587-4592, 2015.

  14. Y. Huang, D. Xu, M. Tan, and H. Su. Adding active learning to LWR for ping-pong playing robotIEEE Transactions on Control Systems Technology (TCST), 21(4):1489-1494, 2013. [video]

  15. Y. Huang, D. Xu, M. Tan, and H. Su. Trajectory prediction of spinning ball for ping-pong player robotIEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), San Francisco, USA, pp. 3434-3439, 2011.

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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.

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.