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.
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.
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.
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.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Efficient Dynamic Computer Simulation of Robotic Mechanisms
M. W. Walker;D. E. Orin.
Journal of Dynamic Systems Measurement and Control-transactions of The Asme (1982)
Robot dynamics: equations and algorithms
R. Featherstone;D. Orin.
international conference on robotics and automation (2000)
Control of Force Distribution in Robotic Mechanisms Containing Closed Kinematic Chains
D. E. Orin;S. Y. Oh.
Journal of Dynamic Systems Measurement and Control-transactions of The Asme (1981)
Kinematic and kinetic analysis of open-chain linkages utilizing Newton-Euler methods
D.E. Orin;R.B. McGhee;M. Vukobratović;G. Hartoch.
Bellman Prize in Mathematical Biosciences (1979)
A compliant contact model with nonlinear damping for simulation of robotic systems
D.W. Marhefka;D.E. Orin.
systems man and cybernetics (1999)
Efficient Computation of the Jacobian for Robot Manipulators
David E. Orin;William W. Schrader.
The International Journal of Robotics Research (1984)
Centroidal dynamics of a humanoid robot
David E. Orin;Ambarish Goswami;Sung-Hee Lee.
Autonomous Robots (2013)
Efficient algorithm for optimal force distribution-the compact-dual LP method
F.-T. Cheng;D.E. Orin.
international conference on robotics and automation (1990)
Efficient dynamic simulation of an underwater vehicle with a robotic manipulator
S. McMillan;D.E. Orin;R.B. McGhee.
systems man and cybernetics (1995)
Simulation of contact using a nonlinear damping model
D.W. Marhefka;D.E. Orin.
international conference on robotics and automation (1996)
Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: