Advanced Neural Classifier-Based Effective Human Assistance Robots Using Comparable Interactive Input Assessment Technique

Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

Authors

  • Mohammed Albekairi
  • Khaled Kaaniche
  • Ghulam Abbas
  • Paolo Mercorelli
  • Meshari D. Alanazi
  • Ahmad Almadhor

The role of robotic systems in human assistance is inevitable with the bots that assist with interactive and voice commands. For cooperative and precise assistance, the understandability of these bots needs better input analysis. This article introduces a Comparable Input Assessment Technique (CIAT) to improve the bot system’s understandability. This research introduces a novel approach for HRI that uses optimized algorithms for input detection, analysis, and response generation in conjunction with advanced neural classifiers. This approach employs deep learning models to enhance the accuracy of input identification and processing efficiency, in contrast to previous approaches that often depended on conventional detection techniques and basic analytical methods. Regardless of the input type, this technique defines cooperative control for assistance from previous histories. The inputs are cooperatively validated for the instruction responses for human assistance through defined classifications. For this purpose, a neural classifier is used; the maximum possibilities for assistance using self-detected instructions are recommended for the user. The neural classifier is divided into two categories according to its maximum comparable limits: precise instruction and least assessment inputs. For this purpose, the robot system is trained using previous histories and new assistance activities. The learning process performs comparable validations between detected and unrecognizable inputs with a classification that reduces understandability errors. Therefore, the proposed technique was found to reduce response time by 6.81%, improve input detection by 8.73%, and provide assistance by 12.23% under varying inputs.

OriginalspracheEnglisch
Aufsatznummer2500
ZeitschriftMathematics
Jahrgang12
Ausgabenummer16
Anzahl der Seiten21
DOIs
PublikationsstatusErschienen - 13.08.2024

Bibliographische Notiz

Publisher Copyright:
© 2024 by the authors.

DOI

Zuletzt angesehen

Publikationen

  1. Closed-loop control of product geometry by using an artificial neural network in incremental sheet forming with active medium
  2. Semi-supervised learning for structured output variables
  3. A Lightweight Simulation Model for Soft Robot's Locomotion and its Application to Trajectory Optimization
  4. Noise Detection for Biosignals Using an Orthogonal Wavelet Packet Tree Denoising Algorithm
  5. Problem structuring for transitions
  6. Diffusion-driven microstructure evolution in OpenCalphad
  7. Automatic enumeration of all connected subgraphs.
  8. Methodologies for Noise and Gross Error Detection using Univariate Signal-Based Approaches in Industrial Application
  9. Different complex word problems require different combinations of cognitive skills
  10. Sequencing and fading worked examples and collaboration scripts to foster mathematical argumentation - working memory capacity matters for fading
  11. Constructs for Assessing Integrated Reports-Testing the Predictive Validity of a Taxonomy for Organization Size, Industry, and Performance
  12. Single Robust Proportional-Derivative Control for Friction Compensation in Fast and Precise Motion Systems With Actuator Constraint
  13. Dispatching rule selection with Gaussian processes
  14. A lyapunov approach in the derivative approximation using a dynamic system
  15. Stepwise-based optimizing approaches for arrangements of loudspeaker in multi-zone sound field reproduction
  16. Scaffolding argumentation in mathematics with CSCL scripts
  17. Dynamic environment modelling and prediction for autonomous systems
  18. Modeling items for text comprehension assessment using confirmatory factor analysis
  19. Supporting the Development and Implementation of a Digitalization Strategy in SMEs through a Lightweight Architecture-based Method
  20. DialogueMaps: Supporting interactive transdisciplinary dialogues with a web-based tool for multi-layer knowledge maps
  21. The learning net - an interactive representation of shared knowledge
  22. A Control Scheme for PMSMs using Model Predictive Control and a Feedforward Action in the Presence of Saturated Inputs
  23. Energy Optimization in Motion Planning of a Two-Link Manipulator using Bernstein Polynomials
  24. Set oriented approximation of invariant manifolds
  25. A tutorial introduction to adaptive fractal analysis
  26. Human–learning–machines: introduction to a special section on how cybernetics and constructivism inspired new forms of learning
  27. A sensor fault detection scheme as a functional safety feature for DC-DC converters
  28. Fast, Fully Automated Analysis of Voriconazole from Serum by LC-LC-ESI-MS-MS with Parallel Column-Switching Technique
  29. Computational modeling of amorphous polymers
  30. Dynamic Lot Size Optimization with Reinforcement Learning
  31. The delay vector variance method and the recurrence quantification analysis of energy markets
  32. Analysis of long-term statistical data of cobalt flows in the EU
  33. Computing regression statistics from grouped data
  34. Image compression based on periodic principal components
  35. Gaussian processes for dispatching rule selection in production scheduling
  36. Digging into the roots
  37. Gain Adaptation in Sliding Mode Control Using Model Predictive Control and Disturbance Compensation with Application to Actuators
  38. Knowledge Graph Question Answering and Large Language Models
  39. Challenge-oriented policy making and innovation systems theory: reconsidering systemic instruments
  40. Faulty Process Detection Using Machine Learning Techniques
  41. What can conservation strategies learn from the ecosystem services approach?
  42. A Class of Simple Stochastic Online Bin Packing Algorithms