What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Robot
- Computer vision
Abderrahmane Kheddar spends much of his time researching Humanoid robot, Artificial intelligence, Robot, Simulation and Computer vision.
His Humanoid robot research integrates issues from Control engineering, Control theory, Control theory, Robot kinematics and Solver.
His Artificial intelligence research is multidisciplinary, relying on both Sequence and Electronic engineering.
The concepts of his Robot study are interwoven with issues in Task and Human–computer interaction.
His research in the fields of Haptic technology overlaps with other disciplines such as Collision avoidance.
The Eye tracking research Abderrahmane Kheddar does as part of his general Computer vision study is frequently linked to other disciplines of science, such as Collision detection and Process, therefore creating a link between diverse domains of science.
His most cited work include:
- Pseudo-haptic feedback: can isometric input devices simulate force feedback? (227 citations)
- Fast Continuous Collision Detection between Rigid Bodies (215 citations)
- Realistic haptic rendering of interacting deformable objects in virtual environments (188 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Humanoid robot, Robot, Artificial intelligence, Simulation and Haptic technology.
His Humanoid robot course of study focuses on Control theory and Wrench and Position.
His Robot research includes elements of Task and Human–computer interaction.
His study on Artificial intelligence is mostly dedicated to connecting different topics, such as Computer vision.
Abderrahmane Kheddar interconnects Control engineering, Robot kinematics, Steering wheel and Telerobotics in the investigation of issues within Simulation.
The Haptic technology study combines topics in areas such as Virtual reality, Rendering and Driving simulator.
He most often published in these fields:
- Humanoid robot (52.79%)
- Robot (42.95%)
- Artificial intelligence (33.11%)
What were the highlights of his more recent work (between 2015-2021)?
- Humanoid robot (52.79%)
- Robot (42.95%)
- Control theory (19.34%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Humanoid robot, Robot, Control theory, Control theory and Quadratic programming.
His Humanoid robot study deals with the bigger picture of Artificial intelligence.
His Artificial intelligence study combines topics from a wide range of disciplines, such as Illusion and Computer vision.
His Robot research is multidisciplinary, incorporating elements of Control engineering, Task, Torque and Trajectory.
His work on Inverted pendulum and Stability as part of general Control theory research is frequently linked to Contact force, thereby connecting diverse disciplines of science.
As part of the same scientific family, he usually focuses on Control theory, concentrating on Zero moment point and intersecting with Linkage.
Between 2015 and 2021, his most popular works were:
- Multi-contact vertical ladder climbing with an HRP-2 humanoid (45 citations)
- Hand-Object Contact Force Estimation from Markerless Visual Tracking (38 citations)
- Multi-contact walking pattern generation based on model preview control of 3D COM accelerations (38 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Robot
- Robotics
Abderrahmane Kheddar mainly investigates Humanoid robot, Robot, Control theory, Artificial intelligence and Control theory.
His biological study spans a wide range of topics, including Stability, Quadratic programming, Human–computer interaction, Control engineering and Simulation.
His studies in Robot integrate themes in fields like Automation and Auditory feedback.
His work in the fields of Inverted pendulum overlaps with other areas such as Inertial frame of reference.
The study incorporates disciplines such as Illusion, Perspective and Computer vision in addition to Artificial intelligence.
His Control theory study combines topics in areas such as Animation and Wrench.
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