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1Department of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY 14853, USA.
Sensors (Basel, Switzerland)
|February 11, 2023
Summary
This study compares modern methods for improving surgical robotic systems. Prefiltered open-loop optimal + transport decoupling offers the best performance with reduced computational load.
Area of Science:
- Robotics
- Control Systems Engineering
- Surgical Technology
Background:
- Surgical robotic systems present challenges for retrofitting new performance improvements due to integrated electronics.
- Existing systems require methods to impose enhanced functionality without complete redesign.
Purpose of the Study:
- To investigate and compare various methods for enhancing the performance of pre-existing surgical robotic systems.
- To evaluate modern approaches against idealized benchmarks and current systems.
Main Methods:
- Compared a dozen modern control approaches, including idealized cases for benchmarking.
- Applied methods to non-idealized systems, incorporating noisy sensor fusion and fictional forces.
- Evaluated prefiltering, velocity control, and Pontryagin's methods (Hamiltonian minimization, adjoint equations).
Main Results:
- Prefiltered open-loop optimal + transport decoupling demonstrated superior performance.
- The best method achieved 1-3% attitude tracking accuracy for robotic instruments.
- This approach reduced computational burden by 2% without increasing costs.
Conclusions:
- Prefiltered open-loop optimal + transport decoupling is a highly effective method for surgical robot enhancement.
- Modern control strategies can significantly improve existing robotic systems efficiently.
- The study provides a benchmark for evaluating performance enhancement techniques in surgical robotics.

