What is she best known for?
The fields of study she is best known for:
- Artificial intelligence
- Machine learning
- Computer vision
Her primary areas of investigation include Artificial intelligence, Robot, Computer vision, Robotics and GRASP.
The concepts of her Artificial intelligence study are interwoven with issues in Machine learning and Task.
The various areas that Danica Kragic examines in her Robot study include Grippers, Identification, Artificial neural network and Set.
Her study looks at the relationship between Computer vision and topics such as Mobile robot, which overlap with Control theory.
Her Robotics research is multidisciplinary, incorporating perspectives in Teleoperation, Visual servoing, Human–computer interaction and Tactile sensor.
Her research integrates issues of Stability, Representation, Programming by demonstration and Haptic technology in her study of GRASP.
Her most cited work include:
- Data-Driven Grasp Synthesis—A Survey (465 citations)
- The GRASP Taxonomy of Human Grasp Types (304 citations)
- Short survey: Dual arm manipulation-A survey (277 citations)
What are the main themes of her work throughout her whole career to date?
Artificial intelligence, Robot, Computer vision, Object and Robotics are her primary areas of study.
Her Artificial intelligence study integrates concerns from other disciplines, such as Machine learning, Task, Human–computer interaction and GRASP.
The study incorporates disciplines such as Programming by demonstration, Tactile sensor, Stability, Representation and Grippers in addition to GRASP.
Danica Kragic combines subjects such as Motion, Probabilistic logic and Reinforcement learning with her study of Robot.
The study of Computer vision is intertwined with the study of Robustness in a number of ways.
Her work deals with themes such as Representation, Segmentation and Set, which intersect with Object.
She most often published in these fields:
- Artificial intelligence (78.35%)
- Robot (40.24%)
- Computer vision (40.24%)
What were the highlights of her more recent work (between 2019-2021)?
- Artificial intelligence (78.35%)
- Robot (40.24%)
- Robotics (25.41%)
In recent papers she was focusing on the following fields of study:
Danica Kragic mainly investigates Artificial intelligence, Robot, Robotics, Task and Object.
Danica Kragic does research in Artificial intelligence, focusing on Interpretability specifically.
Her biological study spans a wide range of topics, including Motion, Computer vision, Probabilistic logic and Task analysis.
Her Computer vision research incorporates elements of Task oriented, Sequence and State space.
Her Task research incorporates themes from Human–computer interaction, Adaptation and Reinforcement learning.
Her Object research includes themes of GRASP, State, Hand manipulation, Task and Configuration space.
Between 2019 and 2021, her most popular works were:
- Combating COVID-19-The role of robotics in managing public health and infectious diseases. (138 citations)
- Benchmarking Bimanual Cloth Manipulation (11 citations)
- Learning Task-Oriented Grasping From Human Activity Datasets (8 citations)
In her most recent research, the most cited papers focused on:
- Artificial intelligence
- Machine learning
- Computer vision
Danica Kragic mainly focuses on Artificial intelligence, Robotics, Object, Robot and Human–computer interaction.
Danica Kragic has researched Artificial intelligence in several fields, including Machine learning and Task.
As a member of one scientific family, Danica Kragic mostly works in the field of Object, focusing on Benchmarking and, on occasion, Table, Measure and State.
Her Robot study combines topics from a wide range of disciplines, such as Probabilistic logic, Deep learning and Task analysis.
Her Task analysis research includes elements of Visualization and Computer vision.
Her Human–computer interaction research is multidisciplinary, relying on both Video tracking and Motion planning.
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