Gregorij Kurillo
UC Berkeley
752 Sutardja Dai Hall
Berkeley, CA 94720-1764
(510) 642 7456
gregorij {at} eecs . berkeley . edu

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Gregorij Kurillo received B.Sc. and Ph.D. degrees from Faculty of Electrical Engineering, University of Ljubljana, Slovenia, in 2001 and 2006, respectively. He has received the highest national award for his undergraduate thesis work. He was a Research Assistant with the Laboratory of Robotics and Biomedical Engineering at the same institution from 2002 to 2006. His research work was focused on the application of principles of robotic grasping to human grasping for the assessment and rehabilitation of hand function in virtual environments. He has also participated in two European Union funded projects, iMatch and Alladin, aimed at sensor-based rehabilitation and assistive technology.

Dr. Kurillo was a Postdoctoral Researcher at University of California, Berkeley, from 2006-2009. Since 2009 he has been assigned to Research Engineer position to manage work on the Teleimmersion project at UC Berkeley. While working on this project, he has developed the framework for hierarchical calibration of multiple cameras. From 2012-2016, Dr. Kurillo held a joint appointment with the Deaprtment of Physical Medicine and Rehabilitation at University of California Davis School of Medicine. He has published several scientific and technical papers in different peer-reviewed journals and international conferences. His research interests include geometric and photometric camera calibration, stereo vision, image processing, robotics, rehabilitation engineering, and virtual reality.


2009 - Now: Assistant Research Engineer, Teleimmersion Lab, UC Berkeley
In the current stage of the teleimmersion project research  we are focusing on development of collaborative applications that allow users to interact with data and each other in a shared virtual environments. Two examples of such applications are cyberarcheology  (in collaboration with UC Merced) and virtual geology (in collaboration with UC Davis). We are also focusing on geometric and photometric multi-camera calibration, in particular on the calibration of color.

2006 - 2009: Postdoctoral Researcher, Teleimmersion Lab, UC Berkeley
Tele-immersion is aimed to enable users in geographically distributed sites to collaborate in real time in a shared simulated environment as if they were in the same physical room. We currently have several projects underway to improve the existing technology, including segmentation algorithms to recognize human beings and segment their data into individual limbs, mathematical models of human movement in order to identify actions, refinement of stereo algorithms to better discern depth information in less time, customized hardware architectures to optimize performance of existing algorithms, and ongoing experiments and refinements in the sharing of real-time video and audio data over long distances.

2004 - 2007
: European Union Project ALLADIN
ALLADIN project was focused on the development of a user-friendly natural language based decision support software for neuro-rehabilitation, in particular in stroke. Within the project, a novel force measuring platform was designed to assess isometric forces of different parts of the body (e.g. fingertips, forearm, back, foot etc.) during intention driven tasks (e.g. trying to pick up a cup for drinking).

2002 - 2006
: European Union Project i-Match
The project was focused on development of virtual reality training simulator for assistive technology users (e.g. wheelchair, Handy robot, Manus - wheelchair mounted robot) and methods for assessment of user interfaces (e.g. joysticks, switches, mouse).

2001 - 2006: Doctoral Thesis -  Measurement and Evaluation of Grasping in Virtual Reality (PDF):
The work was focused on the assessment and rehabilitation of human grasping through measurement of force in virtual environments (VEs). The first part of the work introduced a tracking system for the evaluation of grip force control. The system consists of a grip-measuring device with end-objects of different shapes which was used as input to a tracking task to provide bio-feedback. The method was applied to healthy subjects, patients with neuromuscular diseases, head-injury patient after BTX treatment and a group of post-stroke patients. The second part of the work presents a novel rehabilitation system for the assessment and training of multi-fingered grasping in VE. An isometric finger device was designed to simultaneously assess forces applied by three fingers. Four virtual reality tasks were developed with the aim to improve grip force coordination and increase muscle strength of patients after stroke through repetitive exercises. The presented virtual system was evaluated in a group of healthy subjects and a post-stroke patient.


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