Illah Nourbakhsh mostly deals with Artificial intelligence, Robot, Mobile robot, Human–computer interaction and Robotics. His Artificial intelligence research is multidisciplinary, incorporating perspectives in Knowledge management, Expression and Computer vision. His research integrates issues of Curriculum and Formative assessment in his study of Robot.
His Mobile robot research integrates issues from Field, Multimedia, Software deployment and Motion planning. His studies deal with areas such as Event, Simulation, Human–robot interaction and Control as well as Human–computer interaction. The concepts of his Robotics study are interwoven with issues in Participatory design, Robot learning, Participatory GIS and Engineering management.
His main research concerns Artificial intelligence, Robot, Mobile robot, Robotics and Human–computer interaction. His study in Computer vision extends to Artificial intelligence with its themes. His biological study spans a wide range of topics, including Multimedia and Process.
Many of his studies on Mobile robot apply to Motion planning as well. His study in Robotics is interdisciplinary in nature, drawing from both Mathematics education, Engineering management, Participatory design and Curriculum. He combines subjects such as Social robot, Simulation and Personal robot with his study of Human–computer interaction.
His primary areas of study are Citizen science, Data science, Visualization, Business and Pollution. His research in Data science intersects with topics in Quality and Baseline. The study incorporates disciplines such as Internet access and Documentation in addition to Visualization.
Artificial intelligence and Robotics are fields of study that overlap with his Central element research. The Artificial intelligence study combines topics in areas such as Software and Engineering management. Illah Nourbakhsh interconnects Data flow diagram, Pedagogy, Interdisciplinary education and Engineering education in the investigation of issues within Robotics.
Illah Nourbakhsh mainly investigates Citizen science, Data science, Community engagement, Sociology of scientific knowledge and Computational thinking. His Sociology of scientific knowledge research incorporates elements of Information technology, Business, Knowledge management, Empowerment and Participatory design. The various areas that Illah Nourbakhsh examines in his Computational thinking study include Outline of robotics, Structure, Engineering management and Design thinking.
His Engineering management research incorporates themes from Educational robotics, Robotics, Robot and Artificial intelligence. In the field of Robot, his study on Mobile robot overlaps with subjects such as Upgrade. His study deals with a combination of Artificial intelligence and Craft.
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Introduction to Autonomous Mobile Robots
Roland Siegwart;Illah R. Nourbakhsh;Davide Scaramuzza.
(2004)
A survey of socially interactive robots
Terrence Fong;Terrence Fong;Illah R. Nourbakhsh;Kerstin Dautenhahn.
Robotics and Autonomous Systems (2003)
Appearance-based place recognition for topological localization
I. Ulrich;I. Nourbakhsh.
international conference on robotics and automation (2000)
Methods and algorithms for statistical analysis of protein sequences.
V Brendel;P Bucher;I R Nourbakhsh;B E Blaisdell.
Proceedings of the National Academy of Sciences of the United States of America (1992)
Appearance-Based Obstacle Detection with Monocular Color Vision
Iwan Ulrich;Illah R. Nourbakhsh.
national conference on artificial intelligence (2000)
DERVISH An Office-Navigating Robot
Illah R. Nourbakhsh;Rob Powers;Stan Birchfield.
Ai Magazine (1995)
The role of expressiveness and attention in human-robot interaction
A. Bruce;I. Nourbakhsh;R. Simmons.
international conference on robotics and automation (2002)
Human-robot teaming for search and rescue
I.R. Nourbakhsh;K. Sycara;M. Koes;M. Yong.
(2005)
Generating categorical depth maps using passive defocus sensing
Illah Reza Nourbakhsh;David Andre.
(1995)
An effective mobile robot educator with a full-time job
Illah R. Nourbakhsh;Alvaro Soto;Judith Bobenage;Sebastien Grange.
Artificial Intelligence (1999)
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