What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Mechanical engineering
- Software
His scientific interests lie mostly in Robot, Artificial intelligence, Control engineering, Manufacturing engineering and Machine tool.
His research integrates issues of Systems engineering, Process and Machining in his study of Robot.
Alexander Verl is studying Robotics, which is a component of Artificial intelligence.
Alexander Verl performs integrative study on Robotics and Flexibility in his works.
His work deals with themes such as Control, Model predictive control, Parallel manipulator and Electric motor, which intersect with Control engineering.
His Machine tool study incorporates themes from Preventive maintenance, Condition monitoring and Predictive maintenance.
His most cited work include:
- Cooperation of human and machines in assembly lines (440 citations)
- Cooperation of human and machines in assembly lines (440 citations)
- Machine tool feed drives (326 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Robot, Control engineering, Artificial intelligence, Machine tool and Simulation.
His Robot research integrates issues from Process and Machining.
His studies in Process integrate themes in fields like Quality, Automation, Manufacturing engineering, Systems engineering and Modular design.
The concepts of his Control engineering study are interwoven with issues in Control system, Control theory, Process, Parallel manipulator and Control.
Alexander Verl studies Robotics, a branch of Artificial intelligence.
His studies deal with areas such as Energy consumption, Efficient energy use and Ball screw as well as Machine tool.
He most often published in these fields:
- Robot (31.05%)
- Control engineering (21.08%)
- Artificial intelligence (15.95%)
What were the highlights of his more recent work (between 2017-2021)?
- Robot (31.05%)
- Control engineering (21.08%)
- Distributed computing (4.56%)
In recent papers he was focusing on the following fields of study:
Alexander Verl mostly deals with Robot, Control engineering, Distributed computing, Automation and Control theory.
His Robot research is multidisciplinary, relying on both Control theory and Trajectory.
His Control engineering research incorporates elements of Control system, Reinforcement learning, Focus and Machining.
His Machining research includes elements of Process, Machine tool and Identification.
The Automation study which covers Software that intersects with Domain, Systems engineering and Information model.
His study in Bin picking and Robotics falls under the purview of Artificial intelligence.
Between 2017 and 2021, his most popular works were:
- Robots in machining (35 citations)
- Digital Twins of Manufacturing Systems as a Base for Machine Learning (16 citations)
- A Container-based Architecture for Real-Time Control Applications (15 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Mechanical engineering
- Software
His primary areas of investigation include Context, Distributed computing, Machining, Manufacturing engineering and Robot.
His Distributed computing study combines topics in areas such as End-to-end principle, Shell, Time sensitive networking and Control.
His work carried out in the field of Machining brings together such families of science as Process, Zero Defects and Identification.
His Manufacturing engineering study combines topics from a wide range of disciplines, such as Quality and Process.
His study of Robotics is a part of Robot.
His work on Hardware-in-the-loop simulation as part of general Control engineering research is frequently linked to Material flow, thereby connecting diverse disciplines of science.
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