What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Machine learning
- Computer vision
Helge Ritter focuses on Artificial intelligence, Computer vision, Artificial neural network, Self-organizing map and Robot.
The various areas that Helge Ritter examines in his Artificial intelligence study include Machine learning and Pattern recognition.
The study incorporates disciplines such as Contextual image classification, Object detection and Kernel regression in addition to Pattern recognition.
His Artificial neural network research incorporates themes from Algorithm, Data mining, Feature and Gesture recognition.
His research in Self-organizing map intersects with topics in Dimension, Space, Topology, Robotic arm and Gaussian curvature.
In general Robot, his work in Tactile sensor is often linked to Dreyfus model of skill acquisition linking many areas of study.
His most cited work include:
- Self-organizing semantic maps (563 citations)
- BCI competition 2003-data set IIb: support vector machines for the P300 speller paradigm (410 citations)
- Neural Computation And Self Organizing Maps: An Introduction (396 citations)
What are the main themes of his work throughout his whole career to date?
Helge Ritter mostly deals with Artificial intelligence, Computer vision, Artificial neural network, Robot and Human–computer interaction.
His study in Artificial intelligence is interdisciplinary in nature, drawing from both Machine learning and Pattern recognition.
His study in Pattern recognition focuses on Feature extraction in particular.
His Computer vision study frequently draws connections between adjacent fields such as GRASP.
Humanoid robot, Robot kinematics and Robot control are among the areas of Robot where Helge Ritter concentrates his study.
Helge Ritter studies Sonification which is a part of Human–computer interaction.
He most often published in these fields:
- Artificial intelligence (64.55%)
- Computer vision (33.17%)
- Artificial neural network (17.40%)
What were the highlights of his more recent work (between 2011-2021)?
- Artificial intelligence (64.55%)
- Computer vision (33.17%)
- Robot (16.42%)
In recent papers he was focusing on the following fields of study:
His main research concerns Artificial intelligence, Computer vision, Robot, Object and Tactile sensor.
He specializes in Artificial intelligence, namely Haptic technology.
His work in Computer vision addresses issues such as Control theory, which are connected to fields such as Body schema.
Helge Ritter combines subjects such as Simulation and Human–computer interaction with his study of Robot.
His Object research is multidisciplinary, incorporating perspectives in Identification, Field and Action.
His Tactile sensor research incorporates elements of Image resolution, Motion and Visual servoing.
Between 2011 and 2021, his most popular works were:
- Flexible and stretchable fabric-based tactile sensor (120 citations)
- A Control Framework for Tactile Servoing (67 citations)
- Real-time 3D segmentation of cluttered scenes for robot grasping (46 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Machine learning
- Computer vision
The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Robot, Tactile sensor and Object.
As part of his studies on Artificial intelligence, Helge Ritter frequently links adjacent subjects like Control theory.
As a member of one scientific family, Helge Ritter mostly works in the field of Computer vision, focusing on GRASP and, on occasion, Degrees of freedom.
His studies in Robot integrate themes in fields like Pose, Simulation, Human–computer interaction and Identification.
His Tactile sensor research integrates issues from Robot end effector, Wearable computer, Embedded system and Action.
His Object study deals with Visual servoing intersecting with Visualization, Motion and Image processing.
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