What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Robotics
- Mechanical engineering
Oussama Khatib spends much of his time researching Control engineering, Robot, Artificial intelligence, Robotics and Control theory.
His Control engineering research integrates issues from Mobile manipulator, Obstacle avoidance, Mobile robot, Humanoid robot and Control.
Oussama Khatib interconnects Task, Simulation and Robotic arm in the investigation of issues within Robot.
His Artificial intelligence research includes themes of Human–computer interaction and Computer vision.
His work investigates the relationship between Robotics and topics such as Holonomic that intersect with problems in Decentralised system, Object model and Linkage.
His work on Torque as part of general Control theory research is frequently linked to Flexibility, bridging the gap between disciplines.
His most cited work include:
- Real-time obstacle avoidance for manipulators and mobile robots (5589 citations)
- A unified approach for motion and force control of robot manipulators: The operational space formulation (2354 citations)
- Springer Handbook of Robotics (1881 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Robot, Artificial intelligence, Control engineering, Control theory and Robotics.
His study in Robot is interdisciplinary in nature, drawing from both Task, Simulation and Human–computer interaction.
In the field of Artificial intelligence, his study on Haptic technology overlaps with subjects such as Service, Key and Field.
His research integrates issues of Mobile manipulator, Mobile robot, Humanoid robot, Actuator and Robot end effector in his study of Control engineering.
His Mobile robot research includes elements of Robotic arm and Motion planning.
His biological study deals with issues like Motion control, which deal with fields such as Robot kinematics and Control system.
He most often published in these fields:
- Robot (41.01%)
- Artificial intelligence (38.17%)
- Control engineering (38.17%)
What were the highlights of his more recent work (between 2013-2021)?
- Artificial intelligence (38.17%)
- Robot (41.01%)
- Computer vision (12.93%)
In recent papers he was focusing on the following fields of study:
Oussama Khatib mainly investigates Artificial intelligence, Robot, Computer vision, Haptic technology and Robotics.
His research in the fields of Control overlaps with other disciplines such as Whole body.
The concepts of his Robot study are interwoven with issues in Human–computer interaction and Control theory, Control theory.
His studies in Control theory integrate themes in fields like Control engineering, Brake and Position.
His Haptic technology study incorporates themes from Workspace, Invariant and Torque.
His studies deal with areas such as Engineering management, Engineering ethics and Systems engineering as well as Robotics.
Between 2013 and 2021, his most popular works were:
- A hierarchically patterned, bioinspired e-skin able to detect the direction of applied pressure for robotics. (145 citations)
- Progress and prospects of the human---robot collaboration (143 citations)
- Control of Redundant Robots Under Hard Joint Constraints: Saturation in the Null Space (85 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Robotics
- Mechanical engineering
Oussama Khatib focuses on Robot, Artificial intelligence, Computer vision, Control engineering and Trajectory.
His work deals with themes such as Control theory, Control theory and Quadratic programming, which intersect with Robot.
Many of his research projects under Artificial intelligence are closely connected to Modalities and Benchmarking with Modalities and Benchmarking, tying the diverse disciplines of science together.
His Computer vision research is multidisciplinary, relying on both Shear force, Robotic arm and GRASP.
Oussama Khatib works in the field of Control engineering, focusing on Underactuation in particular.
His Trajectory research focuses on subjects like Motion planning, which are linked to Heuristic, Mobile robot, Nonholonomic system and Probabilistic logic.
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