Model predictive control for a tendon-driven surgical robot with safety constraints in kinematics and dynamics

Accepted for publication in IROS 2020- International Conference on Intelligent Robots and Systems.

Description:

The MPC controller

In this work we evaluate the applicatbility of Model Predictive Control (MPC) to control a tendon-driven surgical robotic tool. The dynamic model of the robot is learnt by means of Artificial Neural Networks (ANN) and used to impose bounds on the dynamics of the system.

We evaluate our approach on different bounding values.

Tracking results in simulation tests

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