Daniel Van Lewen — accepted AI-conference papers

2025

A Real-Time, Semi-Autonomous Navigation Platform for Soft Robotic Bronchoscopy

Daniel Van Lewen, Yitong Lu, Frank Juliá Wise, Armaan Vasowalla, Christopher Wu, Jennifer Yeo +2

RA-L 2025

Navigating through the peripheral lung branches poses a significant challenge in diagnosing lesions during bronchoscopy. Soft robots are well-suited to address current limitations in bronchoscopy due to their scale, dexterity, and adaptability. In this paper, we propose a real-time, semi-autonomous

Cited by 3 Source ↗Scholar ↗

2024

Capacitive Origami Sensing Modules for Measuring Force in a Neurosurgical, Soft Robotic Retractor

Daniel Van Lewen, Catherine Wang, Hun Chan Lee, Anand Devaiah, Urvashi Upadhyay, Sheila Russo

ICRA 2024poster

In neurosurgery, soft robots have the potential to introduce significant benefits over traditional metal tools for their ability to safely interact with delicate tissues. In this paper, we introduce a proof-of-concept soft, capacitive origami sensing module (OSM) that can measure forces during neuro…

Cited by 2 Source ↗Scholar ↗