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

Research output: Journal contributionsJournal articlesResearchpeer-review

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.

Original languageEnglish
Article number2500
JournalMathematics
Volume12
Issue number16
Number of pages21
DOIs
Publication statusPublished - 13.08.2024

Bibliographical note

Publisher Copyright:
© 2024 by the authors.

    Research areas

  • interactive classification, machine learning, neural networks, optimal control, robot systems
  • Engineering

DOI

Recently viewed

Publications

  1. Flexible scripting in net-based learning groups
  2. Modelling and implementing business processes in distributed systems
  3. Interpreting Strings, Weaving Threads
  4. ACL–adaptive correction of learning parameters for backpropagation based algorithms
  5. Neural Network-Based Finite-Time Control for Stochastic Nonlinear Systems with Input Dead-Zone and Saturation
  6. Dynamic adjustment of dispatching rule parameters in flow shops with sequence-dependent set-up times
  7. Discourse Analyses in Chat-based CSCL with Learning Protocols
  8. An MPC for an Aggregate Actuator with a Self-Tuning Feedforward Control
  9. Preventive Emergency Detection Based on the Probabilistic Evaluation of Distributed, Embedded Sensor Networks
  10. Throttle valve control using an inverse local linear model tree based on a Fuzzy neural network
  11. Learning with animations and simulations in a computer-based learning environment about torques
  12. Analysis and comparison of two finite element algorithms for dislocation density based crystal plasticity
  13. Using mixture distribution models to test the construct validity of the Physical Self-Description Questionnaire
  14. Set-oriented numerical computation of rotation sets
  15. Trajectory-based computational study of coherent behavior in flows
  16. Digital Control of a Camless Engine Using Lyapunov Approach with Backward Euler Approximation
  17. Springback prediction and reduction in deep drawing under influence of unloading modulus degradation
  18. Joint entity and relation linking using EARL
  19. Human–learning–machines: introduction to a special section on how cybernetics and constructivism inspired new forms of learning
  20. Supporting discourse in a synchronous learning environment
  21. Cross-document coreference resolution using latent features
  22. Performance analysis for loss systems with many subscribers and concurrent services
  23. On finding nonisomorphic connected subgraphs and distinct molecular substructures.
  24. Improved sensorimotor control is not connected with improved proprioception
  25. Expertise in research integration and implementation for tackling complex problems
  26. Changes in the Complexity of Limb Movements during the First Year of Life across Different Tasks
  27. Analysis of semi-open queueing networks using lost customers approximation with an application to robotic mobile fulfilment systems
  28. A decoupled MPC using a geometric approach and feedforward action for motion control in robotino
  29. Model predictive control for switching gain adaptation in a sliding mode controller of a DC drive with nonlinear friction
  30. Finding Creativity in Predictability: Seizing Kairos in Chronos Through Temporal Work in Complex Innovation Processes
  31. An application of multiple behavior SIA for analyzing data from student exams
  32. Continuous and Discrete Concepts for Detecting Transport Barriers in the Planar Circular Restricted Three Body Problem
  33. Control of an Electromagnetic Linear Actuator Using Flatness Property and Systems Inversion
  34. Machine Learning and Knowledge Discovery in Databases