What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer vision
- Robotics
The scientist’s investigation covers issues in Computer vision, Artificial intelligence, Mobile robot, Context and Human–computer interaction.
In general Computer vision, his work in Orientation, Iterative reconstruction and Sensor fusion is often linked to Rate gyro linking many areas of study.
His study in Artificial intelligence is interdisciplinary in nature, drawing from both Diffuse sky radiation, Real-time computing and Depth perception.
His Mobile robot study results in a more complete grasp of Robot.
The study incorporates disciplines such as Space exploration, Simulation and Systems engineering in addition to Robot.
His Human–computer interaction study integrates concerns from other disciplines, such as Function and Engineering management.
His most cited work include:
- Active Computer Vision by Cooperative Focus and Stereo (196 citations)
- Ambler: an autonomous rover for planetary exploration (185 citations)
- 3D measurements from imaging laser radars: how good are they? (182 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Artificial intelligence, Computer vision, Robot, Mobile robot and Simulation.
Eric Krotkov has researched Artificial intelligence in several fields, including Space exploration and Space research.
His work on Orientation and Iterative reconstruction as part of general Computer vision study is frequently connected to Image processing and Ranging, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
His Robot study combines topics from a wide range of disciplines, such as Control system, Planetary rover, Systems engineering and Human–computer interaction.
As a part of the same scientific family, Eric Krotkov mostly works in the field of Mobile robot, focusing on Dead reckoning and, on occasion, Odometry.
His work carried out in the field of Simulation brings together such families of science as Tree traversal, Control, Planetary exploration and Legged robot.
He most often published in these fields:
- Artificial intelligence (65.88%)
- Computer vision (44.71%)
- Robot (38.82%)
What were the highlights of his more recent work (between 2001-2017)?
- Artificial intelligence (65.88%)
- Robotics (22.35%)
- Robot (38.82%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Artificial intelligence, Robotics, Robot, Human–computer interaction and Field.
His biological study spans a wide range of topics, including Viewpoints and Computer vision.
Robotics is closely attributed to Simulation in his study.
His work on Mobile robot and Robot control as part of general Robot research is frequently linked to Autonomy, bridging the gap between disciplines.
Eric Krotkov combines subjects such as Embedded system and Systems engineering with his study of Mobile robot.
His research is interdisciplinary, bridging the disciplines of Function and Human–computer interaction.
Between 2001 and 2017, his most popular works were:
- Active Computer Vision by Cooperative Focus and Stereo (196 citations)
- The DARPA LAGR program: Goals, challenges, methodology, and phase I results (97 citations)
- DARPA-funded efforts in the development of novel brain-computer interface technologies. (85 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer vision
- Robotics
Eric Krotkov mainly investigates Human–computer interaction, Field, Brain–computer interface, Agency and Function.
His Human–computer interaction research is multidisciplinary, incorporating perspectives in State, DARPA LAGR Program and Operations research.
Along with Field, other disciplines of study including Focus, Constructive, Computer vision, Artificial intelligence and Viewpoints are integrated into his research.
Eric Krotkov integrates several fields in his works, including Brain–computer interface, Engineering management and Domain.
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