What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer vision
- Statistics
His main research concerns Artificial intelligence, Computer vision, Robot, Mobile robot and Robotics.
The various areas that Gregory Dudek examines in his Artificial intelligence study include Machine learning and Heuristics.
His research integrates issues of Range, Robot learning and Robustness in his study of Computer vision.
His Robot research incorporates themes from Simulation and Position.
His research in the fields of Mobile robot navigation, Social robot and Robot control overlaps with other disciplines such as Context.
His Robotics research is multidisciplinary, incorporating elements of Artificial neural network and Human–computer interaction.
His most cited work include:
- Computational principles of mobile robotics (523 citations)
- A Taxonomy for Multi-Agent Robotics* (307 citations)
- Robotic exploration as graph construction (256 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Artificial intelligence, Robot, Computer vision, Mobile robot and Robotics.
The Artificial intelligence study combines topics in areas such as Machine learning and Pattern recognition.
His work deals with themes such as Topic model and Task, which intersect with Machine learning.
His Robot study combines topics in areas such as Simulation and Human–computer interaction.
He interconnects Visualization, Odometry and Robustness in the investigation of issues within Computer vision.
Mobile robot is frequently linked to Range in his study.
He most often published in these fields:
- Artificial intelligence (73.31%)
- Robot (42.64%)
- Computer vision (41.41%)
What were the highlights of his more recent work (between 2017-2021)?
- Artificial intelligence (73.31%)
- Robot (42.64%)
- Computer vision (41.41%)
In recent papers he was focusing on the following fields of study:
Gregory Dudek mainly investigates Artificial intelligence, Robot, Computer vision, Robustness and Visualization.
His Artificial intelligence study combines topics from a wide range of disciplines, such as Machine learning and Terrain.
His Robot research includes themes of Task, Task analysis, Trajectory and Human–computer interaction.
His study in Computer vision is interdisciplinary in nature, drawing from both Simultaneous localization and mapping, Deep learning and DUAL.
In his work, Autonomous robot, Collision avoidance, Heading and Type is strongly intertwined with Convolutional neural network, which is a subfield of Robustness.
The Entropy study which covers Representation that intersects with Mobile robot.
Between 2017 and 2021, his most popular works were:
- Vision-Based Autonomous Underwater Swimming in Dense Coral for Combined Collision Avoidance and Target Selection (18 citations)
- Generating Adversarial Driving Scenarios in High-Fidelity Simulators (17 citations)
- Synthesizing Neural Network Controllers with Probabilistic Model-Based Reinforcement Learning (16 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer vision
- Statistics
Gregory Dudek spends much of his time researching Artificial intelligence, Computer vision, Robot, Visualization and Simultaneous localization and mapping.
His work in Artificial neural network and Reinforcement learning are all subfields of Artificial intelligence research.
His Computer vision research is multidisciplinary, relying on both Heading and Terrain.
His work on Autonomous robot is typically connected to Field as part of general Robot study, connecting several disciplines of science.
His biological study spans a wide range of topics, including Leverage and Scale-invariant feature transform.
His Object detection research is multidisciplinary, incorporating perspectives in Vanishing point, Pose, Structure from motion and Mobile robot.
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