What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Mechanical engineering
- Robotics
His primary areas of study are Robot, Artificial intelligence, Control engineering, Control theory and Robotics.
The various areas that Matthew T. Mason examines in his Robot study include Motion, Sequence and GRASP.
His Artificial intelligence research is multidisciplinary, incorporating elements of Simple, Task and Position.
His Control theory study combines topics in areas such as Collision and Bounded function.
His Robotics research incorporates themes from Variety, Kinematics and Conveyor belt.
As a part of the same scientific family, Matthew T. Mason mostly works in the field of Simulation, focusing on Manipulator and, on occasion, Mobile manipulator and Mechanics.
His most cited work include:
- Compliance and Force Control for Computer Controlled Manipulators (1334 citations)
- Automatic Synthesis of Fine-Motion Strategies for Robots (799 citations)
- Robot Hands and the Mechanics of Manipulation (755 citations)
What are the main themes of his work throughout his whole career to date?
Matthew T. Mason spends much of his time researching Robot, Artificial intelligence, Control theory, Object and Computer vision.
Matthew T. Mason interconnects Control engineering, Task and GRASP in the investigation of issues within Robot.
His work in Control engineering covers topics such as Simulation which are related to areas like Manipulator.
His studies deal with areas such as Engineering drawing and Human–computer interaction as well as Artificial intelligence.
His work deals with themes such as Kinematics, Bounded function and Motion control, which intersect with Control theory.
In his study, which falls under the umbrella issue of Object, Algorithm is strongly linked to Sequence.
He most often published in these fields:
- Robot (37.21%)
- Artificial intelligence (32.56%)
- Control theory (25.58%)
What were the highlights of his more recent work (between 2016-2021)?
- Artificial intelligence (32.56%)
- Computer vision (18.14%)
- Object (22.79%)
In recent papers he was focusing on the following fields of study:
Matthew T. Mason mainly focuses on Artificial intelligence, Computer vision, Object, Robot and Robot end effector.
The Artificial intelligence study combines topics in areas such as GRASP and Nonlinear system.
Matthew T. Mason has included themes like Motion and Bin in his Object study.
His Robot research integrates issues from Automation, Robustness, Control theory, Grippers and Entropy.
His Control theory research is multidisciplinary, incorporating perspectives in Kinematics and Equations of motion.
His Work research incorporates elements of Control engineering and Key.
Between 2016 and 2021, his most popular works were:
- Systems and methods for providing processing of a variety of objects employing motion planning (47 citations)
- Toward Robotic Manipulation (31 citations)
- A convex polynomial model for planar sliding mechanics: theory, application, and experimental validation: (30 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Mechanical engineering
- Geometry
His primary areas of investigation include Artificial intelligence, Robot, Object, Computer vision and GRASP.
Matthew T. Mason integrates Artificial intelligence and Source area in his research.
His biological study spans a wide range of topics, including Automation, Thread, Human–computer interaction, Grippers and Robustness.
His work in Human–computer interaction addresses issues such as Robotics, which are connected to fields such as Code and Variety.
The concepts of his Object study are interwoven with issues in Sorting, Theoretical computer science and Task.
As a member of one scientific family, he mostly works in the field of Computer vision, focusing on Robot end effector and, on occasion, Vacuum pressure and Mechanical engineering.
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