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Eric M. Yeatman

3 accepted papers

2023

Modified Bilateral Active Estimation Model: A Learning-Based Solution to the Time Delay Problem in Robotic Tele-Control

RA-L 2023

The ubiquitous presence of three types of delay in robotic teleoperation systems, i.e., computation delay, transmission delay, and mechanical delay, is the major factor of the system degradation. It is noticeable that the transmission latency over the communication network shows a periodic trend due

Cited by 14SourceScholar
2022

Augmented Neural Network for Full Robot Kinematic Modelling in SE(3)

RA-L 2022

Due to the increasing complexity of robotic structures, modelling robots is becoming more and more challenging, and analytical models are very difficult to build. Machine learning approaches have shown great capabilities in learning complex mapping and have widely been used in robot model learning a

Cited by 17SourceScholar
2022

Model Learning With Backlash Compensation for a Tendon-Driven Surgical Robot

RA-L 2022

Robots for minimally invasive surgery are becoming more and more complex, due to miniaturization and flexibility requirements. The vast majority of surgical robots are tendon-driven and this, along with the complex design, causes high nonlinearities in the system which are difficult to model analyti

Cited by 18SourceScholar