What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Operating system
- Mechanical engineering
His scientific interests lie mostly in Human–computer interaction, User interface, Multimedia, Simulation and Haptic technology.
The various areas that he examines in his Human–computer interaction study include Robot, Structured light, Representation and Rendering.
The study incorporates disciplines such as Affordance, Swarm behaviour and Mobile device in addition to User interface.
The concepts of his Multimedia study are interwoven with issues in Workspace, Transmission, Teleoperation and Embodied cognition.
His Simulation research is multidisciplinary, incorporating perspectives in Voice coil, Wearable computer and Virtual reality, Artificial intelligence.
His research integrates issues of Interface, Brake, Work, Inertial measurement unit and Focus in his study of Wearable computer.
His most cited work include:
- inFORM: dynamic physical affordances and constraints through shape and object actuation (350 citations)
- PneUI: pneumatically actuated soft composite materials for shape changing interfaces (189 citations)
- Jamming user interfaces: programmable particle stiffness and sensing for malleable and shape-changing devices (178 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Human–computer interaction, Haptic technology, Robot, Artificial intelligence and Multimedia.
His Human–computer interaction research includes themes of User interface, Rendering and Set.
His Haptic technology research includes elements of User experience design, Wearable computer and Virtual reality.
As part of one scientific family, Sean Follmer deals mainly with the area of Robot, narrowing it down to issues related to the Modular design, and often Computer hardware.
His studies in Multimedia integrate themes in fields like Workspace and Variety.
His Simulation research incorporates elements of Actuator and Mobile device.
He most often published in these fields:
- Human–computer interaction (40.86%)
- Haptic technology (30.11%)
- Robot (22.58%)
What were the highlights of his more recent work (between 2019-2021)?
- Robot (22.58%)
- Haptic technology (30.11%)
- Human–computer interaction (40.86%)
In recent papers he was focusing on the following fields of study:
Sean Follmer mostly deals with Robot, Haptic technology, Human–computer interaction, Modular design and Artificial intelligence.
The study incorporates disciplines such as Mechanical engineering and High voltage in addition to Robot.
Haptic technology is a subfield of Simulation that Sean Follmer investigates.
His Simulation research includes themes of Virtual machine, Mobile device, Task and Mobile robot.
His work on Modality as part of general Human–computer interaction study is frequently connected to Programming paradigm, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
He interconnects Interface, Distributed computing and Computer vision in the investigation of issues within Artificial intelligence.
Between 2019 and 2021, his most popular works were:
- An untethered isoperimetric soft robot (6 citations)
- User-defined Swarm Robot Control (5 citations)
- REACH+: Extending the Reachability of Encountered-type Haptics Devices through Dynamic Redirection in VR (3 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Operating system
- Mechanical engineering
Robot, Human–computer interaction, Modular design, Programming paradigm and Variety are his primary areas of study.
His study in Robot is interdisciplinary in nature, drawing from both Task, Simulation, Haptic technology and Virtual reality.
His research on Human–computer interaction focuses in particular on Modality.
His research in Modular design intersects with topics in Soft robotics and Mechanical engineering, Tube, Inflatable.
His study of Programming paradigm brings together topics like Internet of Things, Ideation, On demand and Smart furniture.
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.
