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Guodong Yang

7 accepted papers

2025

Teacher Motion Priors: Enhancing Robot Locomotion over Challenging Terrain

IROS 2025

Achieving robust locomotion on complex terrains remains a challenge due to high-dimensional control and environmental uncertainties. This paper introduces a teacher-prior framework based on the teacher-student paradigm, integrating imitation and auxiliary task learning to improve learning efficiency

Cited by 1SourceScholar
2024

Intensity Triangle Descriptor Constructed From High-Resolution Spinning LiDAR Intensity Image for Loop Closure Detection

RA-L 2024

LiDAR-based loop closure detection is a crucial part of realizing robust SLAM algorithms for intelligent vehicles with LiDAR sensors. Existing methods often reduce the keypoint dimension to encode the global descriptor, which sacrifices the freedom of loop detection and correction. Based on the 6-DO

Cited by 4SourceScholar
2024

Model-Based Trajectory Planning of a Hybrid Robot for Powerline Inspection

RA-L 2024

This letter presents the first trajectory planning method for hybrid robot to perform powerline inspection involving obstacle navigation and landing. We develop a geometric model that incorporates constraints for landing the hybrid robot on a powerline, obstacle avoidance, and objectives that maximi

Cited by 5SourceScholar
2023

A Novel Coiled Cable-Conduit-Driven Hyper-Redundant Manipulator for Remote Operating in Narrow Spaces

IROS 2023poster

Operating in narrow spaces is an important challenge in the development of robots. Redundant manipulators are one way to solve this problem, but their mechanism design and control method still have much room for improvement. In this paper, we propose a coiled cable-conduit-driven hyper-redundant man…

Cited by 4SourceScholar
2023

RI-LIO: Reflectivity Image Assisted Tightly-Coupled LiDAR-Inertial Odometry

RA-L 2023

In this letter, we propose RI-LIO, a new reflectivity image assisted tightly-coupled LiDAR-inertial odometry (LIO) framework that introduces additional reflectivity texture information to efficiently reduce the drift of geometric-only methods. To achieve this, we construct an iterated extended Kalma

Cited by 27SourceScholar
2022

Generalized Face Anti-Spoofing via Cross-Adversarial Disentanglement with Mixing Augmentation

ICASSP 2022accepted

Conventional face anti-spoofing methods might be poorly generalized to unseen data distributions. Thus, we improve the generalization of spoof detection from the multi-domain feature disentanglement. Specially, a two-branch convolutional network is proposed to separate spoof-specific features and do…

Cited by 0SourceScholar
2017

Development of a power line inspection robot with hybrid operation modes

IROS 2017poster

In this paper, we design and build a power line inspection robot capable of hybrid operation modes. Specifically, the developed robot is able to land on the overhead ground wire (OGW) and to move as the climbing robot. When to negotiate obstacles, it can vertically take off the wire and fly over the…

Cited by 89SourceScholar