What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer vision
- Robotics
Michael Jenkin mostly deals with Artificial intelligence, Computer vision, Robot, Sensory cue and Optics.
His Artificial intelligence study incorporates themes from State, Nondeterministic algorithm, Domain theory, Plan and Event.
His Computer vision study integrates concerns from other disciplines, such as Head, Point, Movement and Visual perception.
His work on Mobile robot, Robot kinematics and Robot programming as part of general Robot study is frequently linked to Reactivity, bridging the gap between disciplines.
His Sensory cue research is multidisciplinary, incorporating perspectives in Orientation, Gravity and Communication.
He interconnects Illusion, Percept and Orientation in the investigation of issues within Optics.
His most cited work include:
- Spatial vision in humans and robots (87 citations)
- Audiovisual localization of multiple speakers in a video teleconferencing setting (55 citations)
- Shape-from-shading depends on visual, gravitational, and body-orientation cues. (48 citations)
What are the main themes of his work throughout his whole career to date?
Michael Jenkin mainly investigates Artificial intelligence, Computer vision, Robot, Human–computer interaction and Mobile robot.
Michael Jenkin integrates Artificial intelligence with Graph theory in his research.
His work carried out in the field of Computer vision brings together such families of science as Sensory cue and Optics.
He works mostly in the field of Sensory cue, limiting it down to topics relating to Gravity and, in certain cases, Head and Orientation.
His Robot research focuses on Topology and how it connects with Loop closing.
His work on Augmented reality and Virtual reality as part of his general Human–computer interaction study is frequently connected to Mobile device and Cloud computing, thereby bridging the divide between different branches of science.
He most often published in these fields:
- Artificial intelligence (45.61%)
- Computer vision (31.58%)
- Robot (27.49%)
What were the highlights of his more recent work (between 2014-2021)?
- Human–computer interaction (19.30%)
- Augmented reality (10.53%)
- Robot (27.49%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Human–computer interaction, Augmented reality, Robot, Virtual reality and Artificial intelligence.
His study in the fields of Usability under the domain of Human–computer interaction overlaps with other disciplines such as Cloud computing and Presentation.
His Augmented reality study combines topics from a wide range of disciplines, such as Immersive technology, Multimedia and Interface.
Michael Jenkin combines subjects such as Domain and Embedded system with his study of Robot.
His Artificial intelligence study frequently draws connections to adjacent fields such as Computer vision.
His Motion, Match moving and Human motion study in the realm of Computer vision connects with subjects such as Global Positioning System.
Between 2014 and 2021, his most popular works were:
- Inertial Sensing, GPS and Odometry (20 citations)
- Milton: An open hardware underwater autonomous vehicle (7 citations)
- Integrating Technology-Enhanced Collaborative Surfaces and Gamification for the Next Generation Classroom: (6 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer vision
- Robotics
His primary areas of study are Augmented reality, Multimedia, Collaborative learning, Robot and Mobile device.
His work in Augmented reality is not limited to one particular discipline; it also encompasses Interface.
Michael Jenkin conducts interdisciplinary study in the fields of Multimedia and Writing system through his works.
His work in the fields of Mobile robot overlaps with other areas such as Compass.
Mobile device is intertwined with Student engagement, Technology integration, Human–computer interaction, Blackboard and Game mechanics in his research.
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