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IP 287513
call FP7-ICT-2011-7
call FP7-ICT-2011-7
SAPHARI is funded under the European Community's 7th Framework Programme
RO-MAN 2014 Kazuo Tanie Award candidate
| 
August 2014
Edinburgh, Scotland, UK
The paper: "A Bayesian Approach for Task Recognition and Future Human Activity Prediction" authored by Vito Magnanimo (KUKA), Matteo Severiano (TUM), Silvia Rossi (UNINA) and Dongheui Lee (TUM) was candidate to Kazuo Tanie Award at the 2014 IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN 2014). Kazuo Tanie Award is given to research which has practical aspects or which can be applied to real products.
Edinburgh, Scotland, UK
The paper: "A Bayesian Approach for Task Recognition and Future Human Activity Prediction" authored by Vito Magnanimo (KUKA), Matteo Severiano (TUM), Silvia Rossi (UNINA) and Dongheui Lee (TUM) was candidate to Kazuo Tanie Award at the 2014 IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN 2014). Kazuo Tanie Award is given to research which has practical aspects or which can be applied to real products.
