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Operator dynamics for stability condition in haptic and teleoperation system: A survey
Hongbing Li1, Lei Zhang2, Kenji Kawashima3
1Department of Instrument Science and Engineering, Shanghai Jiaotong University, and Shanghai Engineering Research Center for Intelligent Diagnosis and Treatment Instrument, Shanghai, China.
This study surveys methods for human arm impedance modeling in haptic systems. It identifies challenges and future research directions for more realistic haptic robotic applications.
Area of Science:
- Robotics
- Human-Computer Interaction
- Biomechanics
Background:
- Current haptic systems fail to account for the human hand's variable impedance, limiting the realism of haptic interactions.
- A comprehensive survey of existing methods for modeling human arm impedance is lacking in the literature.
Purpose of the Study:
- To bridge the gap in the literature by providing a comprehensive survey of human arm impedance modeling methods.
- To analyze and classify existing approaches for human arm impedance modeling in haptic systems.
Main Methods:
- Extensive literature review on human arm impedance modeling and control strategies.
- Classification and comparative analysis of various modeling techniques.
- Identification of stability and transparency issues in haptic interaction and teleoperation.
Main Results:
- Detailed classification and comparative study of diverse human arm modeling contributions.
- Summarized findings presented through tables and diagrams for clarity.
- Identification of key challenges in modeling human arm impedance for haptic robotics.
Conclusions:
- Key challenges in modeling human arm impedance for haptic robotic applications are identified.
- Future research directions are outlined based on identified gaps in the current literature.
- The survey provides a foundation for developing more advanced and accurate haptic systems.
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