What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Robot
- Robotics
His scientific interests lie mostly in Robot, Control engineering, Simulation, Torque and Artificial intelligence.
His study in Robot is interdisciplinary in nature, drawing from both Collision detection and Systems engineering.
His studies deal with areas such as Humanoid robot, Actuator, Workspace, Collision and Robustness as well as Control engineering.
Within one scientific family, Sami Haddadin focuses on topics pertaining to Impedance control under Torque, and may sometimes address concerns connected to Optimal control and Variable stiffness.
His work in the fields of Artificial intelligence, such as Robotics, Behavior-based robotics and Cognitive neuroscience of visual object recognition, intersects with other areas such as Relation.
His research in Robotics focuses on subjects like Robotic arm, which are connected to GRASP and Physical medicine and rehabilitation.
His most cited work include:
- Reach and grasp by people with tetraplegia using a neurally controlled robotic arm (1579 citations)
- Variable impedance actuators: A review (561 citations)
- Collision Detection and Safe Reaction with the DLR-III Lightweight Manipulator Arm (452 citations)
What are the main themes of his work throughout his whole career to date?
Sami Haddadin focuses on Robot, Control theory, Artificial intelligence, Robotics and Control engineering.
His Robot study integrates concerns from other disciplines, such as Collision detection, Simulation, Torque and Human–computer interaction.
His work on Optimal control, Trajectory and Control theory as part of general Control theory research is often related to Contact force, thus linking different fields of science.
His work on Control as part of his general Artificial intelligence study is frequently connected to Context, thereby bridging the divide between different branches of science.
His biological study spans a wide range of topics, including Mechatronics, Industrial robot, Systems engineering and Biomechanics.
His research integrates issues of Actuator, Soft robotics, Motion control, Humanoid robot and Impedance control in his study of Control engineering.
He most often published in these fields:
- Robot (64.19%)
- Control theory (30.70%)
- Artificial intelligence (29.77%)
What were the highlights of his more recent work (between 2017-2021)?
- Robot (64.19%)
- Control theory (30.70%)
- Artificial intelligence (29.77%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Robot, Control theory, Artificial intelligence, Human–computer interaction and Robotics.
His Robot research includes elements of Control engineering, Task, Task analysis and Trajectory.
The Control engineering study which covers Control that intersects with Reliability.
His study in the field of Torque and Robot manipulator also crosses realms of Contact force.
His study looks at the intersection of Artificial intelligence and topics like Computer vision with Network architecture.
His Robotics research is multidisciplinary, incorporating elements of Perspective, Injury biomechanics and Engineering management.
Between 2017 and 2021, his most popular works were:
- Force, Impedance, and Trajectory Learning for Contact Tooling and Haptic Identification (26 citations)
- Tactile Robots as a Central Embodiment of the Tactile Internet (23 citations)
- Safety Map: A Unified Representation for Biomechanics Impact Data and Robot Instantaneous Dynamic Properties (21 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Robotics
- Mechanical engineering
Sami Haddadin mainly focuses on Robot, Artificial intelligence, Control theory, Control theory and Robotics.
His study in the field of Robot kinematics is also linked to topics like Process.
Much of his study explores Artificial intelligence relationship to Computer vision.
His study looks at the relationship between Control theory and topics such as Task analysis, which overlap with Powered exoskeleton, Motor control, Exoskeleton, Control engineering and Representation.
Many of his research projects under Control theory are closely connected to Contact force with Contact force, tying the diverse disciplines of science together.
His Robotics study combines topics from a wide range of disciplines, such as Wearable technology, Engineering management and Automation.
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