What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Mechanical engineering
- Control theory
Clément Gosselin mainly investigates Control theory, Kinematics, Workspace, Parallel manipulator and Singularity.
Clément Gosselin specializes in Control theory, namely Actuator.
His Kinematics research is multidisciplinary, incorporating perspectives in Mechanism, Artificial intelligence, Simulation and Jacobian matrix and determinant.
His work deals with themes such as Control engineering and Computer vision, which intersect with Artificial intelligence.
His study explores the link between Workspace and topics such as Simple that cross with problems in Virtual work.
His Singularity course of study focuses on Gravitational singularity and Topology and Hyperbola.
His most cited work include:
- Singularity analysis of closed-loop kinematic chains (1391 citations)
- A Global Performance Index for the Kinematic Optimization of Robotic Manipulators (739 citations)
- The optimum kinematic design of a spherical three-degree-of-freedom parallel manipulator (711 citations)
What are the main themes of his work throughout his whole career to date?
Clément Gosselin focuses on Control theory, Kinematics, Workspace, Parallel manipulator and Mechanism.
The Control theory study combines topics in areas such as Control engineering and Robot.
His Kinematics research integrates issues from Planar, Jacobian matrix and determinant and Revolute joint.
His study in Workspace is interdisciplinary in nature, drawing from both Orientation, Stewart platform, Point, Topology and Cartesian coordinate system.
His work focuses on many connections between Topology and other disciplines, such as Singularity, that overlap with his field of interest in Gravitational singularity.
Clément Gosselin has researched Mechanism in several fields, including Simulation, Base and Inertia.
He most often published in these fields:
- Control theory (42.47%)
- Kinematics (32.15%)
- Workspace (21.83%)
What were the highlights of his more recent work (between 2015-2021)?
- Control theory (42.47%)
- Robot (19.29%)
- Kinematics (32.15%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Control theory, Robot, Kinematics, Parallel manipulator and Workspace.
He combines subjects such as Mechanism and Revolute joint with his study of Control theory.
His Robot study combines topics from a wide range of disciplines, such as Control engineering and Computer vision.
His Kinematics study incorporates themes from Parallelogram, Wrench and Topology.
His work carried out in the field of Parallel manipulator brings together such families of science as Planar, Quadratic programming, Tension and Trajectory planning.
His work in Workspace tackles topics such as Gravitational singularity which are related to areas like Singularity.
Between 2015 and 2021, his most popular works were:
- Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning (154 citations)
- Transfer learning for sEMG hand gestures recognition using convolutional neural networks (56 citations)
- A convolutional neural network for robotic arm guidance using sEMG based frequency-features (51 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Mechanical engineering
- Geometry
The scientist’s investigation covers issues in Control theory, Robot, Workspace, Kinematics and Simulation.
His biological study focuses on Actuator.
In Robot, Clément Gosselin works on issues like Computer vision, which are connected to Compliant mechanism, Task and Grippers.
The study incorporates disciplines such as Acceleration and Trajectory in addition to Workspace.
His Kinematics research includes elements of Gravitational singularity, Jacobian matrix and determinant, Wrench and Topology.
His Simulation study combines topics in areas such as Vibration, Control theory and Human–robot interaction.
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