A robot system needs to autonomously acquire new knowledge through interaction with the environment.  The knowledge can be acquired only if suitable perception-action capabilities are present: a robotic system has to be able to detect, attend to and manipulate objects in the environment as well as interact with people and other robots. We present our longterm work in the area of vision based sensing and control with specific objectives on attention, segmentation, multisensory control and learning.  We address the problem of object detection, grasp stability assessment and probabilistic models for action encoding.

 

Bio:

Danica Kragic is a Professor at the School of Computer Science and Communication at The Royal Institute of Technology (KTH), Stockholm. She received 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 at KTH. 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 has chaired the 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 the ERC Starting Grant.