Model identification and model analysis in robot training

Autor: Iglesias, R., Nehmzow, U., Billings, S.A.

Publikováno v: In Robotics and Autonomous Systems 2008 56(12):1061-1067

Accurate robot simulation through system identification

Autor: Kyriacou, T., Nehmzow, U., Iglesias, R., Billings, S.A.

Publikováno v: In Robotics and Autonomous Systems 2008 56(12):1082-1093

Task identification and characterisation in mobile robotics through non-linear modelling

Autor: Iglesias, R., Kyriacou, T., Nehmzow, U., Billings, S.A.

Publikováno v: In Robotics and Autonomous Systems 2007 55(4):267-275

An application of lyapunov stability analysis to improve\ud the performance of NARMAX models

Autor: Akanyeti, O., Rano, I., Nehmzow, U., Billings, S.A.

Previously we presented a novel approach to program a robot controller based on system identification and robot training techniques. The proposed method works in two stages: first, the programmer demonstrates the desired behaviour to the robot by dri

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::c5e4c7e3c18dd1d3f349c5f0acfab314
https://eprints.whiterose.ac.uk/74647/1/994.pdf

The IM-CLeVeR project: Intrinsically motivated cumulative learning versatile robots

Autor: Baldassarre G., Mirolli, M., Mannella, F., Caligiore, D., Visalberghi, E., Natale, F., Truppa, V., Sabbatini, G., Guglielmelli, E., Keller, F., Campolo, D., Redgrave, P., Gurney, K., Stafford, T., Triesch, J., Weber, C., Rothkopf, C., Nehmzow, U., Condell, J., Siddique, M., Mark, L., Martin, H., Juergen, S., Gomez, F., Alexander, F., Togelius, J., Barto, A.

Publikováno v: Proceedings of the Ninth International Conference on Epigenetic Robotics (EpiRob2009), edited by Canamero L., Oudeyer P.Y., Balkenius C., pp. 189–190, 2009
info:cnr-pdr/source/autori:Baldassarre G., Mirolli, M.; Mannella, F.; Caligiore, D.; Visalberghi, E.; Natale, F.; Truppa, V.; Sabbatini, G.; Guglielmelli, E.; Keller, F.; Campolo, D.; Redgrave, P.; Gurney, K.; Stafford, T.; Triesch, J.; Weber, C.; Rothkopf, C.; Nehmzow, U.; Condell, J.; Siddique, M.; Mark, L.; Martin, H.; Juergen, S.; Gomez, F.; Alexander, F.; Togelius, J., Barto, A./titolo:The IM-CLeVeR project: Intrinsically motivated cumulative learning versatile robots/titolo_volume:Proceedings of the Ninth International Conference on Epigenetic Robotics (EpiRob2009)/curatori_volume:Canamero L., Oudeyer P.Y., Balkenius C./editore:/anno:2009

This short paper presents the core ideas of the IM-CLeVeR Project. IM-CLeVeR aims at developing a new methodology for designing robot controllers that can: (a) cumulatively learn new skills through autonomous development based on intrinsic motivation

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=cnr_________::6b2ecbda1c71ec96e9054ecbbde1c49f
https://publications.cnr.it/doc/140248