What is he best known for?
The fields of study he is best known for:
- Mechanical engineering
- Artificial intelligence
- Control theory
Feng Gao mostly deals with Parallel manipulator, Control theory, Kinematics, Simulation and Control engineering.
His Parallel manipulator research is multidisciplinary, incorporating perspectives in Motion, Acceleration, Inverse dynamics and Topology.
His Control theory research includes themes of Robot, Robotics and Artificial intelligence.
His Robot study combines topics in areas such as Mechanism and Drilling.
He studies Inverse kinematics which is a part of Kinematics.
His research in Simulation intersects with topics in Gait, Universal joint and Probleme inverse.
His most cited work include:
- New kinematic structures for 2-, 3-, 4-, and 5-DOF parallel manipulator designs (272 citations)
- Optimum design of 3-DOF spherical parallel manipulators with respect to the conditioning and stiffness indices (207 citations)
- Controllable Synthesis of Fluorescent Carbon Dots and Their Detection Application as Nanoprobes (171 citations)
What are the main themes of his work throughout his whole career to date?
Feng Gao mainly focuses on Control theory, Robot, Kinematics, Simulation and Parallel manipulator.
His biological study spans a wide range of topics, including Mechanism and Stiffness.
Robot is frequently linked to Control engineering in his study.
His Control engineering research is multidisciplinary, incorporating elements of Control system, Control and Forging.
His work carried out in the field of Kinematics brings together such families of science as Motion, Robot end effector, Algorithm and Topology.
Feng Gao has researched Simulation in several fields, including Gait, Legged robot, Trajectory and Motion simulator.
He most often published in these fields:
- Control theory (43.11%)
- Robot (33.22%)
- Kinematics (31.80%)
What were the highlights of his more recent work (between 2015-2020)?
- Robot (33.22%)
- Control theory (43.11%)
- Simulation (27.21%)
In recent papers he was focusing on the following fields of study:
Feng Gao focuses on Robot, Control theory, Simulation, Kinematics and Hardware-in-the-loop simulation.
His work on Legged robot, Hexapod, Robot control and Workspace as part of general Robot research is frequently linked to Terrain, bridging the gap between disciplines.
His Workspace research is multidisciplinary, relying on both Control engineering, Parallel manipulator and Task.
The concepts of his Control theory study are interwoven with issues in Mechanism and Position.
His studies in Simulation integrate themes in fields like Control system, Stairs, Gait, Robot kinematics and Trajectory.
His Kinematics study combines topics from a wide range of disciplines, such as Motion, Displacement and Topology.
Between 2015 and 2020, his most popular works were:
- Kinematic accuracy research of a novel six-degree-of-freedom parallel robot with three legs (25 citations)
- Modeling and experimental study of a novel 3-RPR parallel micro-manipulator (23 citations)
- Obstacle avoidance and motion planning scheme for a hexapod robot Octopus-III (21 citations)
In his most recent research, the most cited papers focused on:
- Mechanical engineering
- Artificial intelligence
- Control theory
His scientific interests lie mostly in Robot, Control theory, Kinematics, Legged robot and Simulation.
His work deals with themes such as Feed forward, Tripod and Topology, which intersect with Robot.
Feng Gao undertakes interdisciplinary study in the fields of Control theory and Set theory through his research.
His study in Kinematics is interdisciplinary in nature, drawing from both Workspace, Mechanism and Position.
Feng Gao combines subjects such as Control engineering, Mobile manipulator, Forward kinematics and Optimal design with his study of Workspace.
His study looks at the relationship between Simulation and fields such as Trajectory, as well as how they intersect with chemical problems.
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