What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Haptic technology
- Electrical engineering
Danny A. Grant focuses on Haptic technology, Actuator, Signal, Artificial intelligence and Computer vision.
His Haptic technology study introduces a deeper knowledge of Simulation.
His work carried out in the field of Actuator brings together such families of science as Computer graphics, Coefficient of friction and Deformation.
His work in Signal tackles topics such as Input device which are related to areas like Conductor, Planar and User intent.
His Cursor study in the realm of Artificial intelligence connects with subjects such as Property, Information exchange and Robotics.
In general Computer vision study, his work on Object and Scrolling often relates to the realm of Surface and Computer based, thereby connecting several areas of interest.
His most cited work include:
- System and method for controlling haptic devices having multiple operational modes (542 citations)
- Haptic interfaces and devices (450 citations)
- Haptic feedback using rotary harmonic moving mass (399 citations)
What are the main themes of his work throughout his whole career to date?
Danny A. Grant mainly focuses on Haptic technology, Signal, Actuator, Output device and Simulation.
His Haptic technology study contributes to a more complete understanding of Artificial intelligence.
Danny A. Grant focuses mostly in the field of Signal, narrowing it down to topics relating to Electronic engineering and, in certain cases, Piezoelectricity.
His Actuator study combines topics in areas such as Texture, Control theory and Mobile device.
His Output device research is multidisciplinary, incorporating perspectives in Augmented reality, Wearable computer, Sense and Display device.
Danny A. Grant incorporates Simulation and Controller in his studies.
He most often published in these fields:
- Haptic technology (89.67%)
- Signal (51.24%)
- Actuator (39.67%)
What were the highlights of his more recent work (between 2016-2020)?
- Haptic technology (89.67%)
- Signal (51.24%)
- Output device (29.75%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Haptic technology, Signal, Output device, Actuator and Simulation.
Haptic technology is a subfield of Artificial intelligence that he tackles.
In the subject of general Signal, his work in Sampling is often linked to Process, Illusion and User device, thereby combining diverse domains of study.
His research in Output device intersects with topics in Mixed reality, Wearable computer and Sense.
The Actuator study combines topics in areas such as Computer hardware and Control signal.
His studies deal with areas such as Control and Control circuit as well as Simulation.
Between 2016 and 2020, his most popular works were:
- Haptically enabled modular peripheral device assembly (6 citations)
- Modular peripheral device assembly (4 citations)
- Methods and apparatuses for endstop diminishment solutions in haptically-enabled controller devices (4 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Electrical engineering
- Mechanical engineering
His primary areas of study are Haptic technology, Signal, Simulation, Actuator and Output device.
The study incorporates disciplines such as Vibration and Computer vision in addition to Haptic technology.
The various areas that Danny A. Grant examines in his Actuator study include Control, Control circuit and Torque.
His Output device study integrates concerns from other disciplines, such as Wearable computer and Sense.
His work deals with themes such as Haptic control, Sensor fusion, Seat belt and Sample, which intersect with Sense.
His work on Rendering, Feature and Texture as part of his general Artificial intelligence study is frequently connected to Peripheral and Graphical user interface, thereby bridging the divide between different branches of science.
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