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Zhengyang Li

6 accepted papers

2024

Enhancing Cooperative Exploration and Planning: UAV-Legged Robot Synergy

RA-L 2024

Specialized robots, such as legged robots and unmanned aerial vehicles (UAVs), are commonly regarded as effective platforms for aiding in search and rescue (SAR) missions. However, existing approaches often decouple the tasks between UAVs and legged robots, for instance, using UAVs for mapping and l

Cited by 6SourceScholar
2024

Intraoperatively Iterative Hough Transform Based In-plane Hybrid Control of Arterial Robotic Ultrasound for Magnetic Catheterization

ICRA 2024poster

This paper presents an intraoperatively iterative Hough transform (IHT) based in-plane hybrid control of extracorporeal ultrasound (US) guided magnetic catheterization for arterial intervention. One uniqueness lies in that both control and tracking of the arterial robotic ultrasound end-effector hav…

Cited by 0SourceScholar
2023

Design and Development of a Magnetic-Steered Minimally Invasive Bioprinting System

RA-L 2023

Bioprinting is a promising fabrication technique to create medical devices for the human body in vivo or in vitro. However, the existing in-vivo bioprinting methods impose various prerequisites, such as a large incision on the human skin, to make the printing nozzle close to internal organs. Herein,

Cited by 7SourceScholar
2023

Design and Synchronous Control of a Magnetically-Actuated and Ultrasound-Guided Multi-Arm Robotic System

IROS 2023poster

This paper presents the design of a new multi-arm robotic system with mobile magnetic actuation and extracorpo-real ultrasound guidance dedicated to magnetic catheterization. The kinematic model of the external mobile actuation arm (EMAA) and extracorporeal ultrasound-integrated tracking arm (EUTA)…

Cited by 2SourceScholar
2022

Pressing and Rubbing: Physics-Informed Features Facilitate Haptic Terrain Classification for Legged Robots

RA-L 2022

Non-geometric hazards like sinkage and slipping, correlated to terrain categories, have an apparent effect on the locomotion of legged robots. Tactile-based terrain classification is a more accurate way to distinguish terrains in different properties than the vision, but selecting representative fea

Cited by 25SourceScholar