What is he best known for?
The fields of study he is best known for:
- Control theory
- Geometry
- Artificial intelligence
The scientist’s investigation covers issues in Control theory, Simulation, Robot, Torque and Artificial intelligence.
David E. Orin combines subjects such as Hexapod and Contact force with his study of Control theory.
His studies deal with areas such as Intelligent control, Humanoid robot and Mobile robot as well as Simulation.
His Robot research integrates issues from Computational complexity theory, Tree structure and Theoretical computer science.
The concepts of his Torque study are interwoven with issues in Speedup and Motion control.
David E. Orin interconnects Chain and Linear programming in the investigation of issues within Artificial intelligence.
His most cited work include:
- Efficient Dynamic Computer Simulation of Robotic Mechanisms (708 citations)
- Robot dynamics: equations and algorithms (235 citations)
- Centroidal dynamics of a humanoid robot (213 citations)
What are the main themes of his work throughout his whole career to date?
David E. Orin focuses on Control theory, Simulation, Robot, Control engineering and Artificial intelligence.
He has included themes like Kinematics and Motion control in his Control theory study.
His Simulation research is multidisciplinary, relying on both Intelligent control, Humanoid robot and Hexapod.
His Robot research incorporates themes from Stability, Evolutionary algorithm and Nonlinear system.
As a member of one scientific family, he mostly works in the field of Control engineering, focusing on GRASP and, on occasion, Object.
His study in Artificial intelligence focuses on Robotics in particular.
He most often published in these fields:
- Control theory (60.61%)
- Simulation (32.58%)
- Robot (27.27%)
What were the highlights of his more recent work (between 2012-2017)?
- Humanoid robot (9.09%)
- Control theory (60.61%)
- Simulation (32.58%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Humanoid robot, Control theory, Simulation, Artificial intelligence and Robotics.
His Humanoid robot research is within the category of Robot.
His Control theory research is multidisciplinary, incorporating perspectives in Angular momentum and Contact force.
His Simulation study frequently draws connections between related disciplines such as Computation.
David E. Orin has researched Artificial intelligence in several fields, including Kinematics and Computer vision.
His Robotics research incorporates elements of Automation, Intelligent robots, World Wide Web and Engineering management.
Between 2012 and 2017, his most popular works were:
- Centroidal dynamics of a humanoid robot (213 citations)
- Generation of dynamic humanoid behaviors through task-space control with conic optimization (110 citations)
- High-speed humanoid running through control with a 3D-SLIP model (72 citations)
In his most recent research, the most cited papers focused on:
- Geometry
- Artificial intelligence
- Control theory
David E. Orin mainly investigates Control theory, Simulation, Humanoid robot, Torque and Momentum.
His Control theory research overlaps with Jump and Conic optimization.
His research on Simulation often connects related topics like Robustness.
His Humanoid robot study combines topics in areas such as Local analysis, Inverted pendulum, Nonlinear system and Mobile robot.
His Torque study combines topics from a wide range of disciplines, such as Motion control, Quadratic programming, Speedup and Contact force.
His Angular momentum research includes themes of Rigid body dynamics, Computation, Control theory and Dynamics.
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