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Yipeng Pan

2 accepted papers

2025

Magnetometer-Calibrated Hybrid Transformer for Robust Inertial Tracking in Robotics

ICRA 2025

Inertial tracking is vital for autonomous robots and has gained popularity with the ubiquity of low-cost Inertial Measurement Units (IMUs) and deep learning-powered tracking algorithms. Existing works, however, have not fully utilized IMU measurements, particularly magnetometers, nor maximized the p

Cited by 1SourcecodeScholar
2024

Semantics-Aware Receding Horizon Planner for Object-Centric Active Mapping

RA-L 2024

The escalating demands for real-time scene comprehension in modern industries underscore the growing significance of semantic information in the daily tasks of robots, particularly in areas like autonomous inspection and target searching. This letter introduces a semantics-aware receding horizon pla

Cited by 14SourceScholar