What is she best known for?
The fields of study she is best known for:
- Artificial intelligence
- Machine learning
- Statistics
Yael Edan mostly deals with Artificial intelligence, Robot, Computer vision, Gesture and Image processing.
Her Robotics, Motion control and Human–robot interaction study in the realm of Robot interacts with subjects such as Field.
The various areas that Yael Edan examines in her Robotics study include Algorithm and Trajectory.
As a part of the same scientific study, Yael Edan usually deals with the Gesture, concentrating on Human–computer interaction and frequently concerns with Vision based.
Her Image processing study incorporates themes from Vineyard, Sprayer, Machine vision and Pattern recognition.
Her biological study spans a wide range of topics, including Systems engineering, Travelling salesman problem and Agricultural robot.
Her most cited work include:
- Vision-based hand-gesture applications (476 citations)
- Harvesting Robots for High-value Crops: State-of-the-art Review and Challenges Ahead (235 citations)
- A Gesture-based Tool for Sterile Browsing of Radiology Images (155 citations)
What are the main themes of her work throughout her whole career to date?
Yael Edan spends much of her time researching Artificial intelligence, Robot, Task, Computer vision and Human–robot interaction.
Her study connects Pattern recognition and Artificial intelligence.
Her study in Robot is interdisciplinary in nature, drawing from both Quality, Human–computer interaction, Control engineering, Simulation and Pepper.
Her Task research is multidisciplinary, relying on both Multi sensor and Distributed computing.
Her research in the fields of Image processing and RGB color model overlaps with other disciplines such as Field.
Her work focuses on many connections between Sensor fusion and other disciplines, such as Mobile robot, that overlap with her field of interest in Fuzzy logic.
She most often published in these fields:
- Artificial intelligence (37.73%)
- Robot (33.18%)
- Task (15.00%)
What were the highlights of her more recent work (between 2017-2021)?
- Robot (33.18%)
- Task (15.00%)
- Artificial intelligence (37.73%)
In recent papers she was focusing on the following fields of study:
Yael Edan focuses on Robot, Task, Artificial intelligence, Multi sensor and Human–computer interaction.
Her Robot research is multidisciplinary, incorporating perspectives in Quality, Mode, Applied psychology and Pepper.
Her research in Task intersects with topics in Cognitive psychology, Set, Distributed computing, Human–robot interaction and Embodied cognition.
As part of her studies on Artificial intelligence, Yael Edan frequently links adjacent subjects like Pattern recognition.
Her studies deal with areas such as Fault tolerance and Reliability design as well as Multi sensor.
Her work deals with themes such as Outlier and Mobile robot, which intersect with Computer vision.
Between 2017 and 2021, her most popular works were:
- Development of a sweet pepper harvesting robot (30 citations)
- Automatic Adjustable Spraying Device for Site-Specific Agricultural Application (21 citations)
- Toward Socially Aware Person-Following Robots (17 citations)
In her most recent research, the most cited papers focused on:
- Artificial intelligence
- Machine learning
- Statistics
Her primary scientific interests are in Artificial intelligence, Robot, Human–computer interaction, RGB color model and Pepper.
Robotic systems is the focus of her Robot research.
Her work in the fields of Usability overlaps with other areas such as Field.
Her research on RGB color model concerns the broader Computer vision.
Yael Edan has included themes like Vineyard, Vine, Yield and Mobile robot in her Computer vision study.
Yael Edan combines subjects such as Control engineering, Real-time computing and Current with her study of Pepper.
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.
