Smoother Position-Drift Compensation for Time Domain Passivity Approach based Teleoperation

02/06/2020
by   Andre Coelho, et al.
0

Despite being one of the most robust methods in bilateral teleoperation, Time Domain Passivity Approach (TDPA) presents the drawback of accumulating position drift between master and slave devices. The lack of position synchronization poses an obstacle to the performance of teleoperation and may prevent the successful accomplishment of such tasks. Several techniques have been developed in order to solve the position-drift problem in TDPA-based teleoperation. However, they either present poor transparency by over-conservatively constraining force feedback or add high impulse-like force signals that can be harmful to the hardware and to the human operator. We propose a new approach to compensate position drift in TDPA-based teleoperation in a smoother way, which keeps the forces within the normal range of the teleoperation task while preserving the level of transparency and the robust stability of energy-based TDPA. We also add a way of tuning the compensator to behave in accordance with the task being performed, whether it requires faster or smoother compensation. The feasibility and performance of the method were experimentally validated. Good position tracking and regular-amplitude forces are demonstrated with up to 500 ms round-trip constant and variable delays for hard-wall contacts.

READ FULL TEXT

page 1

page 5

research
09/04/2019

Multi-DoF Time Domain Passivity Approach based Drift Compensation for Telemanipulation

When, in addition to stability, position synchronization is also desired...
research
11/07/2018

Learning Task Constraints from Demonstration for Hybrid Force/Position Control

We present a novel method for learning hybrid force/position control fro...
research
11/09/2018

Imitation Learning for Object Manipulation Based on Position/Force Information Using Bilateral Control

This study proposes an imitation learning method based on force and posi...
research
03/05/2021

Compact pneumatic clutch with integrated stiffness variation and position feedback

Stiffness variation and real-time position feedback are critical for any...
research
09/23/2021

Characterization of Real-time Haptic Feedback from Multimodal Neural Network-based Force Estimates during Teleoperation

Force estimation using neural networks is a promising approach to enable...
research
02/12/2020

Force-Sensor-Less Bilateral Teleoperation Control of Dissimilar Master-Slave System with Arbitrary Scaling

This study designs a high-precision bilateral teleoperation control for ...

Please sign up or login with your details

Forgot password? Click here to reset