What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer vision
- Neuroscience
His main research concerns Artificial intelligence, Computer vision, Human–computer interaction, Landmark and Virtual machine.
His study in Motion planning, Scale space, Human visual system model, Gabor filter and Image falls within the category of Artificial intelligence.
His Computer vision research includes themes of Vergence and Mobile robot.
His studies deal with areas such as Robot, Cognitive map, Spatial analysis and Spatial memory as well as Human–computer interaction.
Hanspeter A. Mallot interconnects Artificial neural network, Competitive learning, View based and Social connectedness in the investigation of issues within Cognitive map.
The study incorporates disciplines such as Orientation, Visual field, Spatial relation and Cognition in addition to Landmark.
His most cited work include:
- Integration of depth modules: stereo and shading (298 citations)
- Biomimetic robot navigation (279 citations)
- Navigation and Acquisition of Spatial Knowledge in a Virtual Maze (274 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Artificial intelligence, Computer vision, Human–computer interaction, Virtual reality and Virtual machine.
His studies in Artificial intelligence integrate themes in fields like Visual cortex and Pattern recognition.
His Computer vision research incorporates themes from Depth perception, Computer graphics and Mobile robot.
Much of his study explores Human–computer interaction relationship to Cognitive map.
His Spatial cognition research extends to the thematically linked field of Virtual reality.
His research on Robot focuses in particular on Mobile robot navigation.
He most often published in these fields:
- Artificial intelligence (49.61%)
- Computer vision (29.92%)
- Human–computer interaction (14.17%)
What were the highlights of his more recent work (between 2011-2021)?
- Artificial intelligence (49.61%)
- Working memory (5.12%)
- Computer vision (29.92%)
In recent papers he was focusing on the following fields of study:
Hanspeter A. Mallot focuses on Artificial intelligence, Working memory, Computer vision, Neuroscience and Neural coding.
The Artificial intelligence study combines topics in areas such as Flow, Machine learning and Compound eye.
His biological study spans a wide range of topics, including Recall, Social psychology, Gaze and Landmark.
His Computer vision research is multidisciplinary, incorporating elements of Odometry and Optics.
His Neuroscience study combines topics from a wide range of disciplines, such as Representation and Neural network learning.
His work deals with themes such as Stereopsis, Inference, Naive Bayes classifier and DUAL, which intersect with Neural coding.
Between 2011 and 2021, his most popular works were:
- Miniature curved artificial compound eyes (205 citations)
- Naturalistic path integration of Cataglyphis desert ants on an air-cushioned lightweight spherical treadmill. (32 citations)
- Collision avoidance in persons with homonymous visual field defects under virtual reality conditions (27 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer vision
- Neuroscience
Hanspeter A. Mallot spends much of his time researching Artificial intelligence, Computer vision, Compound eye, Working memory and Audiology.
His work in the fields of Artificial intelligence, such as Computational neuroscience, intersects with other areas such as Excitable membrane.
The various areas that Hanspeter A. Mallot examines in his Computer vision study include Flow, Optical mouse, Optics and Odometry.
His Compound eye study deals with Biomimetics intersecting with Flexible electronics, Motion detection and Soft robotics.
His research in Working memory intersects with topics in Salient, Cognitive psychology, Recall, Animal navigation and Gaze.
His Audiology research integrates issues from Visual field, Surgery, Cortex and Communication.
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