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Data-Driven Modeling and Rendering of Force Responses from Elastic Tool Deformation.

Arsen Abdulali1, Ruslan Rakhmatov2, Tatyana Ogay3

  • 1Department of Computer Engineering, Kyung Hee University, Yongin-si 446-701, Korea. abdulali@khu.ac.kr.

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This study introduces a novel data-driven model for realistic force feedback in simulations. The model accurately renders elastic tool deformation, enhancing user experience in virtual interactions.

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Area of Science:

  • Robotics and Human-Computer Interaction
  • Computational Mechanics and Material Science

Background:

  • Accurate force feedback is crucial for immersive virtual reality and robotic interactions.
  • Existing models often struggle with complex tool deformations and multi-contact scenarios.

Purpose of the Study:

  • To develop a data-driven model for rendering realistic force responses from elastic tool deformation.
  • To create a device-independent model applicable to various simulation environments.

Main Methods:

  • A six-dimensional input model using a radial basis functions network was designed.
  • Training data was acquired from real-world tool-surface contacts.
  • A proof-of-concept rendering simulator was developed and evaluated.

Main Results:

  • The model demonstrated perceptual soundness in numerical evaluations.
  • Psychophysical experiments confirmed the realism of the force feedback.
  • The model supports complex interactions like self and multi-contact collisions.

Conclusions:

  • The proposed data-driven model offers a robust and realistic solution for force feedback rendering.
  • Its device independence and support for complex interactions facilitate broad deployment in simulators.