What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Geometry
- Control theory
Jean-Paul Laumond mainly investigates Motion planning, Mobile robot, Control theory, Artificial intelligence and Robot.
His work deals with themes such as Control engineering, Configuration space, Robot kinematics and Nonholonomic system, which intersect with Motion planning.
His work on Robot control as part of his general Mobile robot study is frequently connected to Collision detection, thereby bridging the divide between different branches of science.
His Control theory study incorporates themes from Path, Curvature and Motion control.
His Artificial intelligence study combines topics from a wide range of disciplines, such as Control system, Animation and Computer vision.
In his research on the topic of Robot, Humanoid robot, Shortest Path Faster Algorithm, K shortest path routing, Distance and Euclidean shortest path is strongly related with Mathematical optimization.
His most cited work include:
- Robot Motion Planning and Control (638 citations)
- A motion planner for nonholonomic mobile robots (517 citations)
- Position referencing and consistent world modeling for mobile robots (472 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Motion planning, Artificial intelligence, Robot, Control theory and Mobile robot.
His Motion planning research is multidisciplinary, incorporating perspectives in Control engineering, Probabilistic logic, Motion control and Configuration space.
He has included themes like Kinematics and Computer vision in his Artificial intelligence study.
His work carried out in the field of Robot brings together such families of science as Motion and Control theory.
The Control theory study combines topics in areas such as Simulation and Position.
His work investigates the relationship between Mobile robot and topics such as Topology that intersect with problems in Shortest path problem.
He most often published in these fields:
- Motion planning (45.66%)
- Artificial intelligence (41.55%)
- Robot (33.79%)
What were the highlights of his more recent work (between 2015-2020)?
- Artificial intelligence (41.55%)
- Robot (33.79%)
- Robotics (15.98%)
In recent papers he was focusing on the following fields of study:
Jean-Paul Laumond spends much of his time researching Artificial intelligence, Robot, Robotics, Humanoid robot and Motion planning.
His research integrates issues of Aesthetics, Human–computer interaction and Computer vision in his study of Artificial intelligence.
He combines subjects such as Representation, Rigid body and Mobile robot with his study of Human–computer interaction.
His work in Robot addresses issues such as Control theory, which are connected to fields such as Passive dynamics and Simulation.
His Humanoid robot study combines topics in areas such as Kinematics, Robot control, Social robot and Motion capture.
His biological study spans a wide range of topics, including Algorithm, Mathematical optimization, Obstacle avoidance and Trajectory of a projectile.
Between 2015 and 2020, his most popular works were:
- Motion Planning and Obstacle Avoidance (86 citations)
- TALOS: A new humanoid research platform targeted for industrial applications (47 citations)
- On the centre of mass motion in human walking (15 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Geometry
- Robotics
Jean-Paul Laumond mainly focuses on Artificial intelligence, Humanoid robot, Motion planning, Control theory and Robotics.
His Artificial intelligence research is multidisciplinary, incorporating elements of Human locomotion, Kinematics and Action.
His Humanoid robot research integrates issues from Observability, Motion capture and Human–computer interaction.
His Motion planning research is multidisciplinary, relying on both Completeness and Obstacle avoidance, Mobile robot, Nonholonomic system.
His Optimal control and Dynamic simulation study in the realm of Control theory connects with subjects such as Parametric statistics and Control.
His Path research includes themes of Algorithm, Mathematical optimization and Configuration space.
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