Farzad Aminravan
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Farzad Aminravan has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- David A. Abbink
Department of Cognitive Robotics, TU Delft, Delft, The Netherlands
1 shared publication - Erwin R. Boer
Department of Cognitive Robotics, Faculty of Mechanical, Maritime and Materials Engineering, Delft University of Technology, Delft 2628, The Netherlands
1 shared publication - Joost C. F. de Winter
Faculty of Mechanical Engineering, Delft University of Technology, Delft, The Netherlands
1 shared publication - Max Mulder
Faculty of Aerospace Engineering, Delft University of Technology, Delft, The Netherlands
1 shared publication - Tom Carlson
Aspire CREATe, University College London, London, UK
1 shared publication - Tricia L. Gibo
Department of Cognitive Robotics, Faculty of Mechanical, Maritime and Materials Engineering, Delft University of Technology, Delft 2628, The Netherlands
1 shared publication
Latest Publications
- Top Cited Papers
- 1 May 2018
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Human-Machine Systems
- Vol. 48 (5) , 509-525
A Topology of Shared Control Systems—Finding Common Ground in Diversity
Shared control is an increasingly popular approach to facilitate control and communication between humans and intelligent machines. However, there is little consensus in guidelines for design and evaluation of shared control, or even in a definition of what constitutes shared control. This lack of consensus complicates cross fertilization of shared control research between different application domains. This paper provides a definition for shared control in context with previous definitions, and a set of general axioms for design and evaluation of shared control solutions. The utility of the definition and axioms are demonstrated by applying them to four application domains: automotive, robot-assisted surgery, brain–machine interfaces, and learning. Literature is discussed for each of these four domains in light of the proposed definition and axioms. Finally, to facilitate design choices for other applications, we propose a hierarchical framework for shared control that links the shared control literature with traded control, co-operative control, and other human–automation interaction methods. Future work should reveal the generalizability and utility of the proposed shared control framework in designing useful, safe, and comfortable interaction between humans and intelligent machines.
- 1 May 2018
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Human-Machine Systems
- Vol. 48 (5) , 509-525
Top Cited PapersA Topology of Shared Control Systems—Finding Common Ground in Diversity
Shared control is an increasingly popular approach to facilitate control and communication between humans and intelligent machines. However, there is little consensus in guidelines for design and evaluation of shared control, or even in a definition of what constitutes shared control. This lack of consensus complicates cross fertilization of shared control research between different application domains. This paper provides a definition for shared control in context with previous definitions, and a set of general axioms for design and evaluation of shared control solutions. The utility of the definition and axioms are demonstrated by applying them to four application domains: automotive, robot-assisted surgery, brain–machine interfaces, and learning. Literature is discussed for each of these four domains in light of the proposed definition and axioms. Finally, to facilitate design choices for other applications, we propose a hierarchical framework for shared control that links the shared control literature with traded control, co-operative control, and other human–automation interaction methods. Future work should reveal the generalizability and utility of the proposed shared control framework in designing useful, safe, and comfortable interaction between humans and intelligent machines.