The Effect of Interaction Force Estimation on Performance in Bilateral Teleoperation.

Area of Science:

• Robotics
• Control Systems
• Human-Robot Interaction

Background:

• Force sensors in bilateral teleoperation systems face size and cost limitations.
• Interaction force estimation offers a practical alternative to direct measurement.

Purpose of the Study:

• To investigate the performance implications of interaction force estimation in bilateral teleoperation.
• To analyze the unique challenges posed by teleoperators (two interaction points) compared to single robots.

Main Methods:

• Analysis of the theoretical properties of teleoperation systems with force estimation.
• Identification of a singularity condition where force estimation becomes infeasible.
• Development of the Force Sensor Free (FSF) transformation for linear teleoperation systems.
• Experimental validation of the FSF transformation on a physical teleoperator.

Main Results:

• Force estimation's impact on performance is twofold: direct inaccuracy and inherent system properties.
• A singularity point exists where interaction force estimation is impossible.
• The FSF transformation effectively converts force-sensing controllers to force-estimating equivalents.

Conclusions:

• Interaction force estimation is a critical factor influencing bilateral teleoperation performance.
• The identified singularity necessitates careful system design and operation.
• The FSF transformation provides a robust method for implementing force estimation in linear teleoperation systems.