social linkedin box blue 32
social facebook box blue 32
social twitter box blue 32
social facebook box blue 32

iit-logo-v3-mainsite

People ■ Nawid Jamali
Nawid Jamali's foto

Nawid Jamali

Postdoc

Advanced Robotics

Post Doc

Bio

Nawid Jamali is a post-doc at the Advanced Robotics department, Learning and Interaction group of the Italian Institute of Technology.

He is currently involved in researching application of machine learning to underwater manipulation as part of PANDORA project under the supervision of Dr. Petar Kormushev and Prof. Darwin Caldwell.

He received the Bachelor degree in Computer Engineering (first class honors) from the University of New South Wales, Sydney, Australia, in 2004 and the Master of Commerce degree in finance in 2006 from the same university. He continued to obtain his Ph.D. degree with the ARC Centre of Excellence for Autonomous Systems, School of Computer Science and Engineering at the University of New South Wales in 2011 under the supervision of Prof. Claude Sammut.

His research interests include bi-manual manipulation, tactile sensing, learning by demonstration human-robot interaction, and application of machine learning to robotics.

Nawid Jamali is a post-doc at the Advanced Robotics department, Learning and Interaction group of the Italian Institute of Technology.

He is currently involved in researching application of machine learning to underwater manipulation as part of PANDORA project under the supervision of Dr. Petar Kormushev and Prof. Darwin Caldwell.

He received the Bachelor degree in Computer Engineering (first class honors) from the University of New South Wales, Sydney, Australia, in 2004 and the Master of ...

●•. Read More

Selected Publications

Jamali, N; Kormushev, P; Caldwell, DG (2014). "Robot-Object Contact Perception using Symbolic Temporal Pattern Learning". In the proceedings of the IEEE International Conference on Robotics and Automation (ICRA).

Jamali, 
N; Kormushev, P; Ahmadzadeh, SR; Caldwell, DG (2014). "Covariance Analysis as a Measure of Policy Robustness in Reinforcement Learning,". In the proceedings of the MTS/IEEE OCEANS conference.

Jamali,
N; Kormushev, P; Caldwell, DG (2013). "Contact State Estimation using Machine Learning". Proceedings of the MTS/IEEE OCEANS conference.

Jamali, N
; Sammut, C (2012). “Slip Prediction using Hidden Markov Models: Multidimensional Sensor Data to Symbolic Temporal Pattern Learning”. Proceedings of the IEEE International Conference on Robotics and Automation (ICRA).

Jamali, N; Sammut, C (2011). “Majority Voting: Material Classification by Tactile Sensing Using Surface Texture”. IEEE Transactions on Robotics, pp-508-521, Vol. 27, No. 3, June 2011.

Jamali, N; Sammut, C (2010). “Material Classification by Tactile Sensing Using Surface Textures”. Proceedings of the IEEE International Conference on Robotics and Automation (ICRA).

Jamali, N; Byrnes-Preston, P; Salleh, R; Sammut, C (2009). “Texture Recognition by Tactile Sensing”. Proceedings of the Australasian Conference on Robotics and Automation (ACRA). 

Jamali, N; Kormushev, P; Caldwell, DG (2014). "Robot-Object Contact Perception using Symbolic Temporal Pattern Learning". In the proceedings of the IEEE International Conference on Robotics and Automation (ICRA).

Jamali, 
N; Kormushev, P; Ahmadzadeh, SR; Caldwell, DG (2014). "Covariance Analysis as a Measure of Policy Robustness in Reinforcement Learning,". In the proceedings of the MTS/IEEE OCEANS conference.

Jamali,
N; Kormushev, P; Caldwell, DG (2013). "Contact State Estimation using Machine ...

●•. Read More

INFORMATION NOTICE ON COOKIES

IIT's website uses the following types of cookies: browsing/session, analytics, functional and third party cookies. Users can choose whether or not to accept the use of cookies and access the website.
By clicking on further information, the full information notice on the types of cookies used will be displayed and you will be able to choose whether or not to accept cookies whilst browsing on the website.

Try our new site and tell us what you think
Take me there