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 Artificial intelligence, Robot, Computer vision, Simulation and Control theory.
The Artificial intelligence study combines topics in areas such as Multi-swarm optimization and Hybrid algorithm.
His biological study spans a wide range of topics, including Work, Mechanical engineering and Actuator.
Hongliang Ren has included themes like Surgical instrument, Robot calibration and Robot end effector in his Computer vision study.
His Simulation research is multidisciplinary, relying on both Robotics, Radiofrequency ablation, Medical physics and Soft robotics.
His study on Control theory is often connected to Concentric as part of broader study in Control theory.
His most cited work include:
- Finite Time Fault Tolerant Control for Robot Manipulators Using Time Delay Estimation and Continuous Nonsingular Fast Terminal Sliding Mode Control (161 citations)
- Investigation of Attitude Tracking Using an Integrated Inertial and Magnetic Navigation System for Hand-Held Surgical Instruments (121 citations)
- Shape Sensing Techniques for Continuum Robots in Minimally Invasive Surgery: A Survey (97 citations)
What are the main themes of his work throughout his whole career to date?
Artificial intelligence, Robot, Computer vision, Simulation and Control theory are his primary areas of study.
His work on Pattern recognition expands to the thematically related Artificial intelligence.
His Robot study combines topics from a wide range of disciplines, such as Control engineering and Mechanical engineering.
His research combines Surgical instrument and Computer vision.
His research integrates issues of Workspace, Teleoperation, Robotic surgery and Trajectory in his study of Simulation.
His Control theory research incorporates themes from Magnetic bearing and Motion control.
He most often published in these fields:
- Artificial intelligence (30.03%)
- Robot (25.08%)
- Computer vision (19.47%)
What were the highlights of his more recent work (between 2018-2021)?
- Robot (25.08%)
- Artificial intelligence (30.03%)
- Computer vision (19.47%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Robot, Artificial intelligence, Computer vision, Soft robotics and Biomedical engineering.
Hongliang Ren combines subjects such as Control engineering, Simulation, Convolutional neural network and Reinforcement learning with his study of Robot.
His studies in Artificial intelligence integrate themes in fields like Transmission, Pattern recognition and Biological neural network.
Many of his studies on Computer vision involve topics that are commonly interrelated, such as Robotic surgery.
The subject of his Soft robotics research is within the realm of Actuator.
His Robotics research includes elements of Bionics and Control theory, Control theory.
Between 2018 and 2021, his most popular works were:
- Stretchable Graphene Pressure Sensors with Shar-Pei-like Hierarchical Wrinkles for Collision-Aware Surgical Robotics (32 citations)
- Real-Time Instrument Segmentation in Robotic Surgery Using Auxiliary Supervised Deep Adversarial Learning (28 citations)
- A Review of Printable Flexible and Stretchable Tactile Sensors. (25 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Surgery
- Mechanical engineering
Hongliang Ren mainly focuses on Robot, Soft robotics, Artificial intelligence, Nanotechnology and Wireless.
His Robot research includes themes of Dielectric elastomer actuator, Transoral robotic surgery, Simulation and Soft actuator.
His work deals with themes such as Elastomer, Bending, Composite material and Resilience, which intersect with Soft robotics.
His research on Artificial intelligence frequently connects to adjacent areas such as Computer vision.
The Computer vision study combines topics in areas such as Convolutional neural network and Robotic surgery.
His Wireless research is multidisciplinary, incorporating perspectives in Control system, Sensitivity, Exoskeleton and Electronics.
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