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[HTML][HTML] A survey on AI-driven digital twins in industry 4.0: Smart manufacturing and advanced robotics
Digital twin (DT) and artificial intelligence (AI) technologies have grown rapidly in recent
years and are considered by both academia and industry to be key enablers for Industry 4.0 …
years and are considered by both academia and industry to be key enablers for Industry 4.0 …
Control strategies for soft robotic manipulators: A survey
With the rise of soft robotics technology and applications, there have been increasing
interests in the development of controllers appropriate for their particular design. Being …
interests in the development of controllers appropriate for their particular design. Being …
Intelligent soft surgical robots for next‐generation minimally invasive surgery
Endowed with the expected visions for future surgery, minimally invasive surgery (MIS) has
become one of the most rapid develo** areas in modern surgery. Soft robotics, which …
become one of the most rapid develo** areas in modern surgery. Soft robotics, which …
Integrating model-driven and data-driven methods for power system frequency stability assessment and control
With increase of practical power system complexity, power system online stability
assessment and control is more and more important. Application of the traditional model …
assessment and control is more and more important. Application of the traditional model …
A survey for machine learning-based control of continuum robots
Soft continuum robots have been accepted as a promising category of biomedical robots,
accredited to the robots' inherent compliance that makes them safely interact with their …
accredited to the robots' inherent compliance that makes them safely interact with their …
Elastomeric haptic devices for virtual and augmented reality
Since the modern concepts for virtual and augmented reality are first introduced in the
1960's, the field has strived to develop technologies for immersive user experience in a fully …
1960's, the field has strived to develop technologies for immersive user experience in a fully …
Physics-integrated variational autoencoders for robust and interpretable generative modeling
Integrating physics models within machine learning models holds considerable promise
toward learning robust models with improved interpretability and abilities to extrapolate. In …
toward learning robust models with improved interpretability and abilities to extrapolate. In …
Soft robot-assisted minimally invasive surgery and interventions: Advances and outlook
Since the emergence of soft robotics around two decades ago, research interest in the field
has escalated at a pace. It is fuelled by the industry's appreciation of the wide range of soft …
has escalated at a pace. It is fuelled by the industry's appreciation of the wide range of soft …
Model-based online learning and adaptive control for a “human-wearable soft robot” integrated system
Soft robots are considered intrinsically safe with regard to human–robot interaction. This has
motivated the development and investigation of soft medical robots, such as soft robotic …
motivated the development and investigation of soft medical robots, such as soft robotic …
Learning inverse kinematics and dynamics of a robotic manipulator using generative adversarial networks
Obtaining inverse kinematics and dynamics of a robotic manipulator is often crucial for robot
control. Analytical models are typically used to approximate real robot systems, and various …
control. Analytical models are typically used to approximate real robot systems, and various …