What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Algorithm
- Geometry
The scientist’s investigation covers issues in Motion planning, Algorithm, Robot, Artificial intelligence and Combinatorics.
His biological study spans a wide range of topics, including Probabilistic logic and Mobile robot.
His Algorithm study incorporates themes from Robotics and Computational science.
The Workspace research Mark H. Overmars does as part of his general Robot study is frequently linked to other disciplines of science, such as Free space, therefore creating a link between diverse domains of science.
In Artificial intelligence, he works on issues like Computer vision, which are connected to Degrees of freedom.
Mark H. Overmars has researched Combinatorics in several fields, including Discrete mathematics, Upper and lower bounds, Point and Data structure.
His most cited work include:
- Computational Geometry: Algorithms and Applications (4130 citations)
- Probabilistic roadmaps for path planning in high-dimensional configuration spaces (4087 citations)
- Computational geometry : algorithms and applications (1225 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Motion planning, Combinatorics, Discrete mathematics, Artificial intelligence and Algorithm.
His Motion planning study frequently draws connections to adjacent fields such as Mobile robot.
The various areas that Mark H. Overmars examines in his Combinatorics study include Point, Set and Data structure.
His work focuses on many connections between Discrete mathematics and other disciplines, such as Plane, that overlap with his field of interest in Space.
Artificial intelligence is a component of his Robotics and Motion studies.
His study of Computational geometry is a part of Algorithm.
He most often published in these fields:
- Motion planning (27.87%)
- Combinatorics (22.65%)
- Discrete mathematics (17.77%)
What were the highlights of his more recent work (between 2004-2015)?
- Motion planning (27.87%)
- Artificial intelligence (16.03%)
- Path (8.36%)
In recent papers he was focusing on the following fields of study:
His main research concerns Motion planning, Artificial intelligence, Path, Human–computer interaction and Simulation.
His study with Motion planning involves better knowledge in Robot.
His research integrates issues of Animation and Computer vision in his study of Artificial intelligence.
The concepts of his Path study are interwoven with issues in Range and Theoretical computer science.
In Probabilistic roadmap, Mark H. Overmars works on issues like Configuration space, which are connected to Algorithm.
His study in Algorithm is interdisciplinary in nature, drawing from both Point and Combinatorics.
Between 2004 and 2015, his most popular works were:
- On a class of O(n2) problems in computational geometry (301 citations)
- Prioritized motion planning for multiple robots (210 citations)
- A Predictive Collision Avoidance Model for Pedestrian Simulation (157 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Geometry
- Algorithm
His primary areas of study are Motion planning, Artificial intelligence, Simulation, Path and Robot.
Mark H. Overmars works on Motion planning which deals in particular with Probabilistic roadmap.
The Artificial intelligence study combines topics in areas such as Computation, Computer vision and Scripting language.
He usually deals with Simulation and limits it to topics linked to Collision avoidance and Pedestrian and Simple.
He studies Path, focusing on Any-angle path planning in particular.
As part of his studies on Robot, he often connects relevant areas like Algorithm.
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