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Pingyu Xiang

6 accepted papers

2026

Shape Sensing and Tip Tracking Via Reciprocating Magnet in the Soft Continuum Robot

ICRA 2026poster

Soft continuum robots, attributable to inherently compliant trunks and shape manipulability, have been widely deployed in complex scenarios requiring safe human-robot interaction. However, their nonlinear deformations and hyperredundant degrees of freedom pose substantial challenges for full-body sh…

Cited by 0Scholar
2025

Deformation Configuration Estimation for Soft Continuum Robot Utilizing Seq2Seq Learning

RA-L 2025

Inspired by biological tentacles, soft continuum robots exhibit the potential for navigating through narrow spaces and operating in complex environments, offering extensive application possibilities. However, owing to their inherent compliance, soft continuum robots may undergo unpredictable deforma

Cited by 1SourceScholar
2025

Human-guided robotic-assistance handheld continuum medical robot system

IROS 2025

Nowadays, laparoscopic surgery procedures face a trade-off between expensive, complex robotic systems and manual instruments with limited functionality. Fully robotic solutions offer precision but lack portability and intuitive control, while manual tools rely solely on the surgeon’s dexterity, limi

Cited by 0SourceScholar
2024

Learning the Inverse Kinematics of Magnetic Continuum Robot for Teleoperated Navigation

IROS 2024

Magnetic continuum robots are subject to external magnetic fields and deformed remotely, simplifying the robot’s transmission mechanism and providing it with significant potential for miniaturization and operational flexibility. However, modeling magnetic field distribution generated by permanent ma

Cited by 2SourceScholar
2024

Soft Hybrid Actuated Hierarchical Bronchoscope Robot for Deep Lung Examination

RA-L 2024

Lungdiseases are becoming one of the world's most serious health issues. Soft bronchoscope robots can achieve safe and controllable lung navigation, which will be crucial for the future early examination of lung diseases. However, due to the single driving method, the large size, and insufficient fl

Cited by 10SourceScholar
2023

C2: Co-design of Robots via Concurrent-Network Coupling Online and Offline Reinforcement Learning

IROS 2023poster

With the increasing computing power, using data-driven approaches to co-design a robot's morphology and controller has become a promising way. However, most existing data-driven methods require training the controller for each morphology to calculate fitness, which is time-consuming. In contrast, th…

Cited by 3SourceScholar