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 123 – Standardising robot programming, with Nick Thompson

  30 May 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Nick Thompson from BOW about software that makes robots easier to program.

Congratulations to the #AAMAS2025 best paper, best demo, and distinguished dissertation award winners

  29 May 2025
Find out who won the awards presented at the International Conference on Autonomous Agents and Multiagent Systems last week.

Congratulations to the #ICRA2025 best paper award winners

  27 May 2025
The winners and finalists in the different categories have been announced.

#ICRA2025 social media round-up

  23 May 2025
Find out what the participants got up to at the International Conference on Robotics & Automation.

Robot Talk Episode 122 – Bio-inspired flying robots, with Jane Pauline Ramos Ramirez

  23 May 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Jane Pauline Ramos Ramirez from Delft University of Technology about drones that can move on land and in the air.

Robot Talk Episode 121 – Adaptable robots for the home, with Lerrel Pinto

  16 May 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Lerrel Pinto from New York University about using machine learning to train robots to adapt to new environments.

What’s coming up at #ICRA2025?

  16 May 2025
Find out what's in store at the IEEE International Conference on Robotics & Automation, which will take place from 19-23 May.

Robot see, robot do: System learns after watching how-tos

  14 May 2025
Researchers have developed a new robotic framework that allows robots to learn tasks by watching a how-to video



 

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


©2025.05 - Association for the Understanding of Artificial Intelligence


 












©2025.05 - Association for the Understanding of Artificial Intelligence