← Search

Jagadeesan Jayender

3 accepted papers

2026

Few-Shot Physics-Informed Neural Network for Shape Reconstruction of Concentric-Tube Robots

ICRA 2026poster

Modeling concentric tube robots (CTRs) involves complex nonlinear continuum mechanics, and despite recent progress, physics-based models often lack an accurate representation of the experimental setups. To overcome these limitations, deep neural network-based models have been explored as alternative…

2025

Deep Koopman Approach for Nonlinear Dynamics and Control of Tendon-Driven Continuum Robots

RA-L 2025

Tendon-driven continuum robots (TDCRs) have received widespread attention in the medical domain due to their slender shape and flexibility. Modeling the dynamics of TDCRs involves continuum mechanics that result in nonlinear and computationally intensive models posing challenges for real-time contro

Cited by 7SourceScholar
2025

Image-Guided Surgical Planning for Percutaneous Nephrolithotomy Using CTRs: A Phantom-Based Study

ICRA 2025

In this paper, we validate the effectiveness of the optimal planning algorithms we have developed for devising surgical plans for Percutaneous Nephrolithotomy (PCNL) using patient-specific Concentric-Tube Robots (CTRs). To do so, we built a life-sized phantom model of the right hemithorax, replicati

Cited by 0SourceScholar