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cs.RO2026

Stiffness Optimization for Concentrated Bending in Magnetically Actuated Catheters: Maintaining Steerability under Gradient Stiffness

Jiewen Tan, Junnan Xue, Shing Shin Cheng +3

Achieving both efficient pushability (propulsion transmission) and proximally concentrated bending for steerability is challenging for magnetically actuated soft catheters: higher…

cs.RO2025

Reconfigurable Tendon-Driven Robots: Eliminating Inter-segmental Coupling via Independently Lockable Joints

Botao Lin, Shuang Song, Jiaole Wang

With a slender redundant body, the tendon-driven robot (TDR) has a large workspace and great maneuverability while working in complex environments. TDR comprises multiple independe…

cs.RO2025

Adjusting Tissue Puncture Omnidirectionally In Situ with Pneumatic Rotatable Biopsy Mechanism and Hierarchical Airflow Management in Tortuous Luminal Pathways

Botao Lin, Tinghua Zhang, Sishen Yuan +4

In situ tissue biopsy with an endoluminal catheter is an efficient approach for disease diagnosis, featuring low invasiveness and few complications. However, the endoluminal cathet…

cs.RO2024

Automatic Tissue Traction Using Miniature Force-Sensing Forceps for Minimally Invasive Surgery

Tangyou Liu, Xiaoyi Wang, Jay Katupitiya +2

A common limitation of autonomous tissue manipulation in robotic minimally invasive surgery (MIS) is the absence of force sensing and control at the tool level. Recently, our team…

cs.RO20231 cited

Minimally-intrusive Navigation in Dense Crowds with Integrated Macro and Micro-level Dynamics

Tong Zhou, Senmao Qi, Guangdu Cen +4

In mobile robot navigation, despite advancements, the generation of optimal paths often disrupts pedestrian areas. To tackle this, we propose three key contributions to improve hum…

cs.RO2023

Towards High Efficient Long-horizon Planning with Expert-guided Motion-encoding Tree Search

Tong Zhou, Erli Lyu, Jiaole Wang +4

Autonomous driving holds promise for increased safety, optimized traffic management, and a new level of convenience in transportation. While model-based reinforcement learning appr…