Haptic Devices Based on Real-Time Dynamic Models of Multibody Systems

Area of Science:

• Robotics and Mechanical Engineering
• Human-Computer Interaction

Background:

• Human-in-the-loop interfaces are increasingly incorporating dynamic multibody models for real-time physics emulation.
• Reliable, high-dynamic sensors are crucial for validating these models and measuring system behavior.

Purpose of the Study:

• To propose a multibody modeling approach in relative coordinates using symbolic equations.
• To demonstrate the application of this model in real-time human-in-the-loop haptic feedback systems.
• To validate the multibody model and haptic device performance using experimental data.

Main Methods:

• Developed a multibody model in relative coordinates based on symbolic equations.
• Integrated the model into a Robot Operating System (ROS) environment for sensor and actuator interaction.
• Implemented and tested the model in two real-time haptic feedback applications: a piano key and a car simulator.

Main Results:

• Experimental validation confirmed the effectiveness of the embedded multibody model in enhancing haptic feedback.
• The model accurately measured system kinematics and dynamics for human-in-the-loop validation.
• Model parameter variations demonstrated the configurability and potential of these haptic devices.

Conclusions:

• An embedded multibody model significantly improves haptic feedback performance in human-in-the-loop systems.
• The proposed modeling approach offers flexibility and extensive possibilities for configurable haptic devices.