A Hybrid Model and Learning-Based Force Estimation Framework for Surgical Robots

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

This paper presents a hybrid model combining model-based and learning-based approaches for force estimation in surgical robots, achieving 30% reduction in estimation errors.