Robohub.org
 

Interview with Danica Kragic

Danica-Kragic-Interview-with-the-International-Journal-of-Advanced-Robotic-Systems---YouTubeIn this wide ranging interview, Danica Kragic, professor at the Royal Institute of Technology (KTH), Sweden, and General Chair of ICRA 2016, discusses the nature of collaborative research, shares her opinions on the robotics projects financed by Horizon2020, speculates on the reasons behind the different research agendas for robotics in the US, the EU and in Asia, and tells us why she chooses to publish her team’s research in open access publications.

Kragic underlines the importance of good organisation when it comes to promoting interdisciplinarity among scientific fields, and incentives to attract students in taking up robotics, and shares her views on why robotics is so often negatively portrayed in the media. Finally, will robots be as intelligent as humans? Watch the latest IJARS video to find out.

 


Danica Kragic is a Professor at the School of Computer Science and Communication at the Royal Institute of Technology, KTH. She received her MSc in Mechanical Engineering from the Technical University of Rijeka, Croatia, in 1995 and PhD in Computer Science from KTH in 2001. She has been a visiting researcher at Columbia University, Johns Hopkins University and INRIA Rennes. She is the Director of the Centre for Autonomous Systems. Danica received the 2007 IEEE Robotics and Automation Society Early Academic Career Award. She is a member of the Royal Swedish Academy of Sciences and Young Academy of Sweden. She holds a Honorary Doctorate from the Lappeenranta University of Technology. She chaired IEEE RAS Technical Committee on Computer and Robot Vision and served as an IEEE RAS AdCom member. Her research is in the area of robotics, computer vision and machine learning. In 2012, she received an ERC Starting Grant. Her research is supported by the EU, Swedish Foundation for Strategic Research and Swedish Research Council.


Kragic D. IJARS Video Series: Danica Kragic Interview with the International Journal of Advanced Robotic Systems [online video]. International Journal of Advanced Robotic Systems, 2015, 12:V7. DOI: 10.5772/61490



tags: , ,


International Journal of Advanced Robotic Systems (IJARS) is the first Open Access robotics journal in the Science, Technology and Medicine field.
International Journal of Advanced Robotic Systems (IJARS) is the first Open Access robotics journal in the Science, Technology and Medicine field.





Related posts :



Robot Talk Episode 101 – Christos Bergeles

In the latest episode of the Robot Talk podcast, Claire chatted to Christos Bergeles from King's College London about micro-surgical robots to deliver therapies deep inside the body.
06 December 2024, by

Robot Talk Episode 100 – Mini Rai

In the latest episode of the Robot Talk podcast, Claire chatted to Mini Rai from Orbit Rise about orbital and planetary robots.
29 November 2024, by

Robot Talk Episode 99 – Joe Wolfel

In the latest episode of the Robot Talk podcast, Claire chatted to Joe Wolfel from Terradepth about autonomous submersible robots for collecting ocean data.
22 November 2024, by

Robot Talk Episode 98 – Gabriella Pizzuto

In the latest episode of the Robot Talk podcast, Claire chatted to Gabriella Pizzuto from the University of Liverpool about intelligent robotic manipulators for laboratory automation.
15 November 2024, by

Online hands-on science communication training – sign up here!

Find out how to communicate about your work with experts from Robohub, AIhub, and IEEE Spectrum.
13 November 2024, by

Robot Talk Episode 97 – Pratap Tokekar

In the latest episode of the Robot Talk podcast, Claire chatted to Pratap Tokekar from the University of Maryland about how teams of robots with different capabilities can work together.
08 November 2024, by





Robohub is supported by:




Would you like to learn how to tell impactful stories about your robot or AI system?


scicomm
training the next generation of science communicators in robotics & AI


©2024 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association