Human-centric digital twins in industry: A comprehensive review of enabling technologies and implementation strategies
The last decade saw the emergence of highly autonomous, flexible, re-configurable Cyber-
Physical Systems. Research in this domain has been enhanced by the use of high-fidelity …
Physical Systems. Research in this domain has been enhanced by the use of high-fidelity …
RealTHASC—a cyber-physical XR testbed for AI-supported real-time human autonomous systems collaborations
Today's research on human-robot teaming requires the ability to test artificial intelligence
(AI) algorithms for perception and decision-making in complex real-world environments …
(AI) algorithms for perception and decision-making in complex real-world environments …
Real-to-Sim: Predicting Residual Errors of Robotic Systems with Sparse Data using a Learning-based Unscented Kalman Filter
Achieving highly accurate dynamic or simulator models that are close to the real robot can
facilitate model-based controls (eg, model predictive control or linear-quadradic regulators) …
facilitate model-based controls (eg, model predictive control or linear-quadradic regulators) …
[PDF][PDF] Real-to-sim: Deep learning with auto-tuning to predict residual errors using sparse data
Achieving highly accurate kinematic or simulator models that are close to the real robot can
facilitate model-based controls (eg, model predictive control or linearquadradic regulators) …
facilitate model-based controls (eg, model predictive control or linearquadradic regulators) …
[HTML][HTML] A Framework for Effective Virtual Commissioning: Guiding Principles for Seamless System Integration
Virtual commissioning (VC), defined as the simulation and testing of systems in a virtual
environment before physical implementation, plays a key role in addressing the challenges …
environment before physical implementation, plays a key role in addressing the challenges …
Overcoming the sim-to-real gap in autonomous robots
When designing and planning an autonomous, adaptive system utilizing the benefits of
Artificial Intelligence (AI), both the specific field of AI and the desired use case must be …
Artificial Intelligence (AI), both the specific field of AI and the desired use case must be …
Towards Intelligent Robotic Systems: Unifying Model-based Optimization and Machine Learning for Planning, Control, and Estimation
AV Schperberg - 2024 - search.proquest.com
The goal of this work is to formulate algorithms that can address three key ingredients I
believe are necessary towards making robots autonomous and smart:(1) The robot needs to …
believe are necessary towards making robots autonomous and smart:(1) The robot needs to …
Vision-based robotic dual arm manipulation of soft objects
C Saghour - 2023 - theses.hal.science
Non-rigid objects are present everywhere in our daily life as well as industrial contexts.
Despite the increasing need for automating their manipulation, there is to date no generally …
Despite the increasing need for automating their manipulation, there is to date no generally …
A new control technology for the development of an air-to-air refueling system
J Kaban - 2023 - knowledgecommons.lakeheadu.ca
Air to Air Refueling (AAR) was first performed over 100 years ago and until now it has almost
exclusively been used in military applications. This is due to the prohibitive cost of …
exclusively been used in military applications. This is due to the prohibitive cost of …