What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Mechanical engineering
- Electrical engineering
Roger D. Quinn mainly investigates Robot, Simulation, Control theory, Hexapod and Artificial intelligence.
His work deals with themes such as Control engineering, Control system and Climbing, which intersect with Robot.
His Control engineering research integrates issues from Artificial neural network and Propulsion.
Roger D. Quinn has researched Simulation in several fields, including Gait, Kinematics, Sensory system and Payload.
His studies in Control theory integrate themes in fields like Robot control and Peristalsis.
His research in Hexapod intersects with topics in Control theory and DC motor.
His most cited work include:
- Biologically based distributed control and local reflexes improve rough terrain locomotion in a hexapod robot (186 citations)
- Biologically inspired approaches to robotics: what can we learn from insects? (182 citations)
- Neuromechanics: an integrative approach for understanding motor control. (181 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Robot, Simulation, Control theory, Artificial intelligence and Mobile robot.
His Robot research is multidisciplinary, incorporating perspectives in Control engineering, Terrain and Climbing.
His study in Control engineering is interdisciplinary in nature, drawing from both Control system and Robot kinematics.
He interconnects Gait, Climb, Kinematics and Mechanism in the investigation of issues within Simulation.
His studies deal with areas such as Artificial neural network and Central pattern generator as well as Control theory.
His work in Artificial intelligence is not limited to one particular discipline; it also encompasses Computer vision.
He most often published in these fields:
- Robot (47.28%)
- Simulation (29.07%)
- Control theory (28.12%)
What were the highlights of his more recent work (between 2014-2021)?
- Robot (47.28%)
- Control theory (28.12%)
- Artificial intelligence (25.24%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Robot, Control theory, Artificial intelligence, Simulation and Control theory.
His Robot research includes elements of Control engineering, Actuator and Central pattern generator.
Many of his studies on Control theory involve topics that are commonly interrelated, such as Thorax.
His Artificial intelligence study incorporates themes from Subnetwork and Computer vision.
The concepts of his Simulation study are interwoven with issues in Kinematics, Climb, Dynamical simulation, Climbing and Inertial measurement unit.
His Control theory study combines topics from a wide range of disciplines, such as Gait, Servomotor, Reflex and Biomechanics.
Between 2014 and 2021, his most popular works were:
- Design process and tools for dynamic neuromechanical models and robot controllers (27 citations)
- Organismal engineering: Toward a robotic taxonomic key for devices using organic materials (25 citations)
- Towards bridging the reality gap between tensegrity simulation and robotic hardware (24 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Mechanical engineering
- Electrical engineering
Roger D. Quinn spends much of his time researching Robot, Simulation, Artificial intelligence, Control theory and Control theory.
His Robot research incorporates themes from Control engineering, Actuator and Central pattern generator.
The Simulation study combines topics in areas such as Kinematics, Motion capture and Climbing.
His research in the fields of Robotics, Motion and Legged robot overlaps with other disciplines such as Multiplication.
His study in the fields of Sensitivity under the domain of Control theory overlaps with other disciplines such as Design process.
Roger D. Quinn combines subjects such as Gait, Robot kinematics, Torque and Reflex with his study of Control theory.
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