What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Surgery
- Mechanical engineering
His scientific interests lie mostly in Robot, Simulation, Haptic technology, Mobile robot and Control engineering.
The subject of his Robot research is within the realm of Artificial intelligence.
His Simulation research integrates issues from Mechanism, Kinematic chain, Control theory, Actuator and Trajectory.
The various areas that he examines in his Haptic technology study include Invasive surgery, Biomedical engineering, Needle insertion and Palpation.
The Palpation study which covers Surgical procedures that intersects with Robotic systems and Robotics.
His work on Robot control as part of general Mobile robot study is frequently connected to Terrain, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
His most cited work include:
- Modeling and control of formations of nonholonomic mobile robots (1003 citations)
- Robotic surgery: a current perspective. (737 citations)
- Controlling formations of multiple mobile robots (602 citations)
What are the main themes of his work throughout his whole career to date?
Jaydev P. Desai spends much of his time researching Simulation, Robot, Haptic technology, Actuator and Biomedical engineering.
His Simulation study integrates concerns from other disciplines, such as Mechanism, Robotics, Control theory, Robotic arm and Stiffness.
His study in Robot is interdisciplinary in nature, drawing from both Control engineering and Magnetic resonance imaging.
His biological study spans a wide range of topics, including Invasive surgery, Surgical procedures, Surgery, Needle insertion and Finite element method.
His Actuator research is multidisciplinary, incorporating perspectives in Mechanical engineering, Robot end effector, SMA* and Shape-memory alloy.
His Biomedical engineering study deals with Soft tissue intersecting with Biomechanics.
He most often published in these fields:
- Simulation (31.43%)
- Robot (31.43%)
- Haptic technology (20.95%)
What were the highlights of his more recent work (between 2015-2021)?
- Robot (31.43%)
- Simulation (31.43%)
- Actuator (20.95%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Robot, Simulation, Actuator, Biomedical engineering and SMA*.
His primary area of study in Robot is in the field of Robot kinematics.
His work deals with themes such as Routing and Mechanical engineering, Suction cup, Mechanism, Water cooling, which intersect with Simulation.
His Actuator research is multidisciplinary, relying on both Control engineering, Controllability, Robotic systems and Shape-memory alloy.
His Biomedical engineering research includes elements of PEDOT:PSS, Nanotechnology, Strain gauge, Fluoroscopy and Transducer.
His SMA* research incorporates elements of Structural engineering, Magnetic resonance imaging and Computer vision.
Between 2015 and 2021, his most popular works were:
- Robotic Artificial Muscles: Current Progress and Future Perspectives (44 citations)
- Toward the Development of a Flexible Mesoscale MRI-Compatible Neurosurgical Continuum Robot (36 citations)
- Versatile aerial grasping using self-sealing suction (23 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Mechanical engineering
- Surgery
Jaydev P. Desai mainly investigates Robot, Actuator, Simulation, Biomedical engineering and Mechanical engineering.
Specifically, his work in Robot is concerned with the study of Robot kinematics.
His studies deal with areas such as Control engineering, Robotic systems and Linkage as well as Actuator.
He combines subjects such as Control system, Routing, Mechanism and Displacement with his study of Simulation.
The Biomedical engineering study combines topics in areas such as Biochip, Soft robotics, Modality, Collagen fibril and Microelectromechanical systems.
His work on Water cooling, Vacuum pump and Suction cup as part of general Mechanical engineering study is frequently linked to GRASP, bridging the gap between disciplines.
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