2010 - Fellow of the American Society of Mechanical Engineers
The Canadian Academy of Engineering
Her scientific interests lie mostly in Human–robot interaction, Robot, Artificial intelligence, Control theory and Simulation. Her Human–robot interaction research is multidisciplinary, incorporating perspectives in Semantic differential, Social psychology, Applied psychology and Human–computer interaction. Her Robot research incorporates elements of Reliability, Perception and Animacy.
Her studies deal with areas such as Task and Computer vision as well as Artificial intelligence. Her study in the field of Trajectory and Actuator is also linked to topics like Jerk. Elizabeth A. Croft combines subjects such as Virtual reality and Configuration space with her study of Simulation.
Elizabeth A. Croft mostly deals with Robot, Artificial intelligence, Human–robot interaction, Computer vision and Human–computer interaction. Her Robot research includes themes of Simulation, Task and Control theory, Trajectory. Her studies in Control theory integrate themes in fields like Control engineering and Industrial robot.
Her Human–robot interaction study combines topics from a wide range of disciplines, such as Perception, Nonverbal communication and Articulated robot. The study incorporates disciplines such as Workspace and Visual servoing in addition to Computer vision. Her Human–computer interaction research is multidisciplinary, incorporating elements of Motion and Gesture.
Her main research concerns Robot, Human–computer interaction, Artificial intelligence, Human–robot interaction and Augmented reality. Her work on Mobile robot as part of her general Robot study is frequently connected to Pedestrian, thereby bridging the divide between different branches of science. Her Human–computer interaction research integrates issues from Motion, Task and Motion planning.
Her Artificial intelligence research integrates issues from Generalization and Computer vision. In her study, Social perception is inextricably linked to Social robot, which falls within the broad field of Human–robot interaction. Her Trajectory study is focused on Control theory in general.
Her primary scientific interests are in Robot, Handover, Artificial intelligence, Trajectory and Industrial robot. Her study of Handover brings together topics like Robotics, GRASP and Perception. Elizabeth A. Croft interconnects Object, Human–robot interaction and Human–computer interaction in the investigation of issues within Robotics.
Her Artificial intelligence study frequently draws connections to adjacent fields such as Computer vision. Her Trajectory study integrates concerns from other disciplines, such as Mixed reality, Augmented reality, Robot end effector and Visualization. Her study in Industrial robot is interdisciplinary in nature, drawing from both Control system, Control theory and Motion control.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Measurement instruments for the anthropomorphism, animacy, likeability, perceived intelligence, and perceived safety of robots
Christoph Bartneck;Dana Kulic;Elizabeth A. Croft;Susana Zoghbi.
International Journal of Social Robotics (2009)
Smooth and time-optimal trajectory planning for industrial manipulators along specified paths
Daniela Constantinescu;Elizabeth A. Croft.
Journal of Robotic Systems (2000)
Jerk-bounded manipulator trajectory planning: design for real-time applications
S. Macfarlane;E.A. Croft.
international conference on robotics and automation (2003)
Affective State Estimation for Human–Robot Interaction
Dana Kulic;Elizabeth A. Croft.
IEEE Transactions on Robotics (2007)
Feed optimization for five-axis CNC machine tools with drive constraints
B. Sencer;Y. Altintas;E. Croft.
International Journal of Machine Tools & Manufacture (2008)
Pre-collision safety strategies for human-robot interaction
Dana Kulić;Elizabeth Croft.
Autonomous Robots (2007)
Safe planning for human-robot interaction
Dana Kulić;Elizabeth A. Croft.
Journal of Robotic Systems (2005)
Meet me where i'm gazing: how shared attention gaze affects human-robot handover timing
AJung Moon;Daniel M. Troniak;Brian Gleeson;Matthew K.X.J. Pan.
human-robot interaction (2014)
Measuring the anthropomorphism, animacy, likeability, perceived intelligence, and perceived safety of robots
Christoph Bartneck;Dana Kulic;Elizabeth Croft.
human-robot interaction (2008)
Real-time safety for human–robot interaction☆
Dana Kulić;Elizabeth A. Croft.
Robotics and Autonomous Systems (2006)
Profile was last updated on December 6th, 2021.
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