What is she best known for?
The fields of study she is best known for:
- Artificial intelligence
- Mechanical engineering
- Computer vision
Her scientific interests lie mostly in Haptic technology, Artificial intelligence, Computer vision, Simulation and Tactile sensor.
Her biological study spans a wide range of topics, including Robot, Multimedia, Virtual reality and Presentation.
Her Robot research integrates issues from Human–computer interaction and Set.
Her Computer vision research includes elements of Work, Computer graphics and Motion control.
She combines subjects such as Sensory cue, Teleoperation, Wrist and Actuator with her study of Simulation.
Her Tactile sensor research incorporates elements of Humanoid robot, Servomotor and Modality.
Her most cited work include:
- Improving contact realism through event-based haptic feedback (258 citations)
- Human-Inspired Robotic Grasp Control With Tactile Sensing (253 citations)
- Vibrotactile Display: Perception, Technology, and Applications (190 citations)
What are the main themes of her work throughout her whole career to date?
Katherine J. Kuchenbecker mainly investigates Haptic technology, Artificial intelligence, Computer vision, Simulation and Robot.
Her work carried out in the field of Haptic technology brings together such families of science as Stylus, Tactile sensor, Teleoperation, Virtual reality and Rendering.
In general Artificial intelligence, her work in Robotics, Motion, Object and Data-driven is often linked to Texture linking many areas of study.
The Computer vision study combines topics in areas such as Sensory cue and Motion control.
She studied Simulation and Vibration that intersect with Robotic surgery.
Her Social robot, Human–robot interaction and Humanoid robot study, which is part of a larger body of work in Robot, is frequently linked to Feeling, bridging the gap between disciplines.
She most often published in these fields:
- Haptic technology (55.93%)
- Artificial intelligence (48.59%)
- Computer vision (32.20%)
What were the highlights of her more recent work (between 2019-2021)?
- Robot (33.33%)
- Haptic technology (55.93%)
- Human–computer interaction (23.16%)
In recent papers she was focusing on the following fields of study:
Her primary areas of investigation include Robot, Haptic technology, Human–computer interaction, Artificial intelligence and Computer vision.
Her research in Robot tackles topics such as Haptic perception which are related to areas like Haptic sensing, Ordinal regression and Object.
Her Haptic technology study incorporates themes from Range and Set.
Her research in Human–computer interaction intersects with topics in Match moving, Virtual image, Curse of dimensionality and Social robot.
Her work on Robotics and Motion as part of general Artificial intelligence study is frequently linked to Reactivity, bridging the gap between disciplines.
Her studies in Computer vision integrate themes in fields like Wearable haptics, Sensory cue and Teleoperation.
Between 2019 and 2021, her most popular works were:
- Calibrating a Soft ERT-Based Tactile Sensor with a Multiphysics Model and Sim-to-real Transfer Learning (4 citations)
- Getting in touch with children with autism: Specialist guidelines for a touch-perceiving robot (2 citations)
- How Does It Feel to Clap Hands with a Robot (2 citations)
In her most recent research, the most cited papers focused on:
- Artificial intelligence
- Mechanical engineering
- Robotics
Katherine J. Kuchenbecker spends much of her time researching Applied psychology, Robot, Contact force, Occupational therapy and Energy.
Her Robot study introduces a deeper knowledge of Artificial intelligence.
Her Contact force studies intersect with other disciplines such as Multiphysics, Simulation, Calibration, Tactile sensor and Contact area.
In her papers, Katherine J. Kuchenbecker integrates diverse fields, such as Contact area and Physical interaction.
Among her Physical interaction studies, you can observe a synthesis of other disciplines of science such as Impulse, Flat surface, Sensation, Normal force and Flat glass.
Her Occupational therapy research is multidisciplinary, relying on both Game design, Rehabilitation, Human–robot interaction and Personal robot.
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.
