H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Engineering and Technology H-index 30 Citations 6,369 152 World Ranking 6774 National Ranking 282

Research.com Recognitions

Awards & Achievements

2010 - Fellow of the American Society of Mechanical Engineers

The Canadian Academy of Engineering

Overview

What is she best known for?

The fields of study she is best known for:

  • Artificial intelligence
  • Mechanical engineering
  • Robotics

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.

Her most cited work include:

  • Measurement instruments for the anthropomorphism, animacy, likeability, perceived intelligence, and perceived safety of robots (1000 citations)
  • Smooth and time-optimal trajectory planning for industrial manipulators along specified paths (301 citations)
  • Jerk-bounded manipulator trajectory planning: design for real-time applications (294 citations)

What are the main themes of her work throughout her whole career to date?

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.

She most often published in these fields:

  • Robot (45.13%)
  • Artificial intelligence (38.46%)
  • Human–robot interaction (25.64%)

What were the highlights of her more recent work (between 2017-2021)?

  • Robot (45.13%)
  • Human–computer interaction (24.62%)
  • Artificial intelligence (38.46%)

In recent papers she was focusing on the following fields of study:

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.

Between 2017 and 2021, her most popular works were:

  • Robot Programming Through Augmented Trajectories in Augmented Reality (39 citations)
  • Full-State Tracking Control for Flexible Joint Robots With Singular Perturbation Techniques (32 citations)
  • Climate control: The relationship between social identity threat and cues to an identity-safe culture. (15 citations)

In her most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Mechanical engineering
  • Robotics

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.

Top Publications

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)

1485 Citations

Smooth and time-optimal trajectory planning for industrial manipulators along specified paths

Daniela Constantinescu;Elizabeth A. Croft.
Journal of Robotic Systems (2000)

427 Citations

Jerk-bounded manipulator trajectory planning: design for real-time applications

S. Macfarlane;E.A. Croft.
international conference on robotics and automation (2003)

427 Citations

Affective State Estimation for Human–Robot Interaction

Dana Kulic;Elizabeth A. Croft.
IEEE Transactions on Robotics (2007)

220 Citations

Feed optimization for five-axis CNC machine tools with drive constraints

B. Sencer;Y. Altintas;E. Croft.
International Journal of Machine Tools & Manufacture (2008)

217 Citations

Pre-collision safety strategies for human-robot interaction

Dana Kulić;Elizabeth Croft.
Autonomous Robots (2007)

207 Citations

Safe planning for human-robot interaction

Dana Kulić;Elizabeth A. Croft.
Journal of Robotic Systems (2005)

166 Citations

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)

161 Citations

Measuring the anthropomorphism, animacy, likeability, perceived intelligence, and perceived safety of robots

Christoph Bartneck;Dana Kulic;Elizabeth Croft.
human-robot interaction (2008)

150 Citations

Real-time safety for human–robot interaction☆

Dana Kulić;Elizabeth A. Croft.
Robotics and Autonomous Systems (2006)

149 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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Contact us

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