H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering H-index 35 Citations 11,120 104 World Ranking 2384 National Ranking 983

Research.com Recognitions

Awards & Achievements

2018 - IEEE Robotics & Automation Award “For scientific and educational contributions to the mechanics of manipulation enabling real-world robot autonomy, and for leadership in robotics.”

2000 - IEEE Fellow For contributions to robotic manipulation and graduate education in robotics.

1992 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For lasting contributions to robotic manipulation in the areas of compliant force control, planning under uncertainty, the mechanics of pushing, and sensorless manipulation strategies.

Overview

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.

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.

Top Publications

Compliance and Force Control for Computer Controlled Manipulators

Matthew T. Mason.
systems man and cybernetics (1981)

2019 Citations

Robot Hands and the Mechanics of Manipulation

Matthew T. Mason;J. Kenneth Salisbury.
(1985)

1489 Citations

Automatic Synthesis of Fine-Motion Strategies for Robots

Tomás Lozano-pérez;Matthew T. Mason;Russell H. Taylor.
The International Journal of Robotics Research (1984)

1080 Citations

Robot Motion: Planning and Control

Michale Brady;John M. Hollerbach;Timothy L. Johnson;Matthew T. Mason.
(1983)

776 Citations

An exploration of sensorless manipulation

M.A. Erdmann;M.T. Mason.
international conference on robotics and automation (1986)

630 Citations

Mechanics and planning of manipulator pushing operations

M T Mason.
The International Journal of Robotics Research (1986)

605 Citations

Mechanics of Robotic Manipulation

Matthew T. Mason.
(2001)

570 Citations

Stable pushing: mechanics, controllability, and planning

Kevin M. Lynch;Matthew T. Mason.
The International Journal of Robotics Research (1996)

536 Citations

Two-Dimensional Rigid-Body Collisions With Friction

Yu Wang;Matthew T. Mason.
Journal of Applied Mechanics (1992)

430 Citations

Dynamic nonprehensile manipulation : controllability, planning and experiments

Kevin M. Lynch;Matthew T. Mason.
The International Journal of Robotics Research (1999)

263 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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