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Mingxing Yuan

3 accepted papers

2026

Fast Exploration Planning with Learning-Based Motion Time Prediction for Aerial Robots

ICRA 2026poster

Unmanned aerial vehicles (UAVs) have been widely employed to achieve autonomous exploration of 3D unknown environments. However, most existing algorithms suffer from low exploration efficiency caused by inaccurate motion time cost evaluation, which typically leads to the motion inconsistency during …

Cited by 0Scholar
2025

Minimum-Time Trajectory Planning of a Dual-Manipulator CT System With Synchronization and Task Constraints

RA-L 2025

In industrial and clinical applications, CT scanning is expected to be as fast as possible to improve the scanning efficiency in industrial CT or to reduce the radiation dose to patients in clinical CT. However, the kinematic constraints of the dual manipulators pose limits on shortening the scannin

Cited by 1SourceScholar
2024

Manipulability-Augmented Next-Best-Configuration Exploration Planner for High-DoF Manipulators

RA-L 2024

This letter presents MA-NBCP, a novel hierarchical framework targeting autonomous exploration and inspection for high-DoF manipulators. MA-NBCP iteratively selects the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">manipulability-augmented</i> <ital

Cited by 2SourceScholar