What is he best known for?
The fields of study he is best known for:
- Mechanical engineering
- Control theory
- Artificial intelligence
Friedrich Pfeiffer mainly investigates Control theory, Simulation, Robot, Kinematics and Control engineering.
The Control theory study combines topics in areas such as Robot control, Motion planning, Applied mathematics and Equations of motion.
His biological study spans a wide range of topics, including Control system, Robotics, Control, Artificial intelligence and Climbing.
As part of one scientific family, Friedrich Pfeiffer deals mainly with the area of Robot, narrowing it down to issues related to the Torque, and often Motion and Orientation.
His Kinematics research is multidisciplinary, incorporating perspectives in Painlevé paradox, Mechanism, Rigid body and Contact dynamics.
His work carried out in the field of Control engineering brings together such families of science as Measure, Dynamic programming, Automatic transmission and Optimal control.
His most cited work include:
- Multibody Dynamics with Unilateral Contacts (624 citations)
- A concept for manipulator trajectory planning (420 citations)
- Towards the design of a biped jogging robot (137 citations)
What are the main themes of his work throughout his whole career to date?
Friedrich Pfeiffer mainly focuses on Control theory, Robot, Control engineering, Multibody system and Mechanics.
His studies in Control theory integrate themes in fields like Kinematics and Equations of motion.
Friedrich Pfeiffer combines subjects such as Control system, Simulation and Trajectory with his study of Robot.
He interconnects Robotics and Artificial intelligence in the investigation of issues within Simulation.
Powertrain is closely connected to Automatic transmission in his research, which is encompassed under the umbrella topic of Control engineering.
His research in Multibody system tackles topics such as Dynamics which are related to areas like Rigid body.
He most often published in these fields:
- Control theory (33.85%)
- Robot (22.96%)
- Control engineering (18.68%)
What were the highlights of his more recent work (between 2006-2020)?
- Classical mechanics (12.84%)
- Mechanics (13.23%)
- Motion (5.06%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Classical mechanics, Mechanics, Motion, Multibody system and Dynamics.
His Classical mechanics research integrates issues from Discretization and Chaotic.
His Mechanics study incorporates themes from Quasiperiodic function, Mechanical system, Rigid body and Friction force.
His Multibody system research includes elements of Mathematical optimization and Equations of motion.
His Mathematical optimization research focuses on Kinematics and how it relates to Non smooth.
His research integrates issues of Projection method and Differential in his study of Control theory.
Between 2006 and 2020, his most popular works were:
- A collocation method for real-time walking pattern generation (91 citations)
- Mechanical System Dynamics (81 citations)
- On non-smooth dynamics (21 citations)
In his most recent research, the most cited papers focused on:
- Mechanical engineering
- Artificial intelligence
- Classical mechanics
Friedrich Pfeiffer focuses on Classical mechanics, Non smooth, Dynamics, Control theory and Mechanical system.
The study incorporates disciplines such as Kinematics, Mathematical optimization, Dynamics, Multibody system and Calculus in addition to Non smooth.
His research in Dynamics intersects with topics in Vibration, Powertrain, Mechanics and Transmission.
In Vibration, Friedrich Pfeiffer works on issues like Automatic transmission, which are connected to Control engineering.
His Control engineering research incorporates themes from Robot, Humanoid robot and Torque.
Many of his research projects under Control theory are closely connected to Digital pattern generator with Digital pattern generator, tying the diverse disciplines of science together.
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