Gal Gorjup, PhD Student
Gal is a PhD candidate working with the New Dexterity research group in the Department of Mechanical Engineering at the University of Auckland, New Zealand. His research is focused on human to robot skill transfer for grasping and dexterous manipulation tasks, with the goal of creating a robust and intuitive framework that will provide higher automation accessibility to a global user base.
Gal has completed his Bachelor and Master level studies in Mechanical and Mechatronics Engineering at the University of Ljubljana, Slovenia. During that time, he has also spent a year at the University of Southern Denmark studying Advanced Robotics Technology. His Master's thesis was a result of collaborative effort between the two universities, where he worked on the development of an EEG based brain-machine interface.
Awards
[November 2019] The New Dexterity \ AI Data Innovations team (Gal Gorjup, Geng Gao, Anany Dwivedi, Ben Chang, Ruobing Yu, and Minas Liarokapis) got the 1st place of the Manufacturing track of the Robotic Grasping and Manipulation Competition of IEEE\RSJ International Conference on Robotics and Intelligent Systems (IROS) 2019 (Macau, China).
[April 2019] First prize for best presentation among all 1st year PhD students participating in the 5th Mechanical Engineering Postgraduate Conference of the University of Auckland.
Publications
[#5 | J #2 | OPEN ACCESS | PDF]
Geng Gao, Gal Gorjup, Ruobing Yu, Patrick Jarvis, and Minas Liarokapis, "Modular, Accessible, Sensorized Objects for Evaluating the Grasping and Manipulation Capabilities of Grippers and Hands," IEEE Robotics and Automation Letters, 2020.
[#4 | J #1 | OPEN ACCESS | PDF]
Gal Gorjup and Minas Liarokapis, "A Low-Cost, Open-Source, Robotic Airship for Education and Research," IEEE Access, 2020.
[#3 | C #3 | PDF]
Gal Gorjup, Geng Gao, Anany Dwivedi, and Minas Liarokapis, "Combining Compliance Control, CAD Based Localization, and a Multi-Modal Gripper for Rapid and Robust Programming of Assembly Tasks," IEEE International Conference on Intelligent Robots and Systems (IROS), 2020.
[#2 | C #2 | PDF]
Anany Dwivedi, Gal Gorjup, Yongje Kwon, and Minas Liarokapis, "Combining Electromyography and Fiducial Marker Based Tracking for Intuitive Telemanipulation with a Robot Arm Hand System," IEEE International Conference on Robot and Human Interactive Communication (ROMAN), New Delhi, India, 2019.
[#1 | C #1 | PDF]
Gal Gorjup, Anany Dwivedi, Nathan Elangovan, and Minas Liarokapis, "An Intuitive, Affordances Oriented Telemanipulation Framework for a Dual Robot Arm Hand System: On the Execution of Bimanual Tasks," IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Macau, China, 2019.