[HTML][HTML] A survey on AI-driven digital twins in industry 4.0: Smart manufacturing and advanced robotics

Z Huang, Y Shen, J Li, M Fey, C Brecher - Sensors, 2021 - mdpi.com
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 …

Control strategies for soft robotic manipulators: A survey

T George Thuruthel, Y Ansari, E Falotico, C Laschi - Soft robotics, 2018 - liebertpub.com
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 …

Intelligent soft surgical robots for next‐generation minimally invasive surgery

J Zhu, L Lyu, Y Xu, H Liang, X Zhang… - Advanced Intelligent …, 2021 - Wiley Online Library
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 …

Integrating model-driven and data-driven methods for power system frequency stability assessment and control

Q Wang, F Li, Y Tang, Y Xu - IEEE Transactions on Power …, 2019 - ieeexplore.ieee.org
With increase of practical power system complexity, power system online stability
assessment and control is more and more important. Application of the traditional model …

A survey for machine learning-based control of continuum robots

X Wang, Y Li, KW Kwok - Frontiers in Robotics and AI, 2021 - frontiersin.org
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 …

Elastomeric haptic devices for virtual and augmented reality

H Bai, S Li, RF Shepherd - Advanced Functional Materials, 2021 - Wiley Online Library
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 …

Physics-integrated variational autoencoders for robust and interpretable generative modeling

N Takeishi, A Kalousis - Advances in Neural Information …, 2021 - proceedings.neurips.cc
Integrating physics models within machine learning models holds considerable promise
toward learning robust models with improved interpretability and abilities to extrapolate. In …

Soft robot-assisted minimally invasive surgery and interventions: Advances and outlook

KW Kwok, H Wurdemann, A Arezzo… - Proceedings of the …, 2022 - ieeexplore.ieee.org
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 …

Model-based online learning and adaptive control for a “human-wearable soft robot” integrated system

ZQ Tang, HL Heung, KY Tong… - The International Journal …, 2021 - journals.sagepub.com
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 …

Learning inverse kinematics and dynamics of a robotic manipulator using generative adversarial networks

H Ren, P Ben-Tzvi - Robotics and Autonomous Systems, 2020 - Elsevier
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 …