Noise-resistant adaptive gain recurrent neural network for visual tracking of redundant flexible endoscope robot with time-varying state variable constraints
Redundant systems are highly favored due to their superior performance. However, rapid
real-time solutions, state variable constraints, and noise-resistance of redundant systems …
real-time solutions, state variable constraints, and noise-resistance of redundant systems …
How can i help you? an intelligent virtual assistant for industrial robots
In the light of recent trends toward introducing Artificial Intelligence (AI) to enhance Human-
Robot Interaction (HRI), intelligent virtual assistants (VA) driven by Natural Language …
Robot Interaction (HRI), intelligent virtual assistants (VA) driven by Natural Language …
Hybrid vision/magnetic-force finite-time convergent neural network tracking control of electromagnetically actuated soft-tethered colonoscope robot with current …
To solve the problems of discomfort and potential colon perforations of patients that arise
when standard colonoscopes are used for colonoscopy, an electromagnetically actuated …
when standard colonoscopes are used for colonoscopy, an electromagnetically actuated …
Fast convergent antinoise dual neural network controller with adaptive gain for flexible endoscope robots
Manual rigid endoscopes have defects such as a low efficiency, difficult operation, and
safety risks, and the antinoise interference ability, convergence speed, and control accuracy …
safety risks, and the antinoise interference ability, convergence speed, and control accuracy …
Reconfigurable pilot lines enabling industry digitalization: An approach for transforming industry and academia needs to requirements specifications
Abstract Reconfigurable Pilot Lines (RPLs) are one practical concept for implementing the
test-before-invest strategy to improve skills and capabilities of European small and medium …
test-before-invest strategy to improve skills and capabilities of European small and medium …
Cutting events: towards autonomous plan adaption by robotic agents through image-schematic event segmentation
K Dhanabalachandran, V Hassouna… - Proceedings of the 11th …, 2021 - dl.acm.org
Autonomous robots struggle with plan adaption in uncertain and changing environments.
Although modern robots can make popcorn and pancakes, they are incapable of performing …
Although modern robots can make popcorn and pancakes, they are incapable of performing …
Novel Noise-Tolerant Recurrent Neural Network Adaptive Control of Preoperative Pose for Cranial Neurosurgery Robot With Physical Constraints
The preoperative pose manual adjustment of the cranial neurosurgery robot (CNR) has
defects such as low operation efficiency and great difficulty, and the research on the …
defects such as low operation efficiency and great difficulty, and the research on the …
Tool substitution with shape and material reasoning using dual neural networks
This paper explores the problem of tool substitution, namely, identifying substitute tools for
performing a task from a given set of candidate tools. We introduce a novel approach to tool …
performing a task from a given set of candidate tools. We introduce a novel approach to tool …
[PDF][PDF] Maniskill: Learning-from-demonstrations benchmark for generalizable manipulation skills
Learning generalizable manipulation skills is central for robots to achieve task automation in
environments with endless scene and object variations. However, existing robot learning …
environments with endless scene and object variations. However, existing robot learning …
Bootstrapping Concept Formation in Small Neural Networks
M Tamosiunaite, T Kulvicius… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The question how neural systems (of humans) can perform reasoning is still far from being
solved. We posit that the process of forming Concepts is a fundamental step required for this …
solved. We posit that the process of forming Concepts is a fundamental step required for this …