3 papers
cs.CV2026
Parameter-Efficient Fine-Tuning for Spiking Point Cloud Models
Zihao Guo, Jihua Zhu, Yiding Sun +2
Spiking Neural Networks (SNNs) offer energy-efficient solutions for point cloud analysis on resource-constrained devices through event-driven computation. However, existing pre-tra…
cs.RO2024
IDF-MFL: Infrastructure-free and Drift-free Magnetic Field Localization for Mobile Robot
Hongming Shen, Zhenyu Wu, Wei Wang +3
In recent years, infrastructure-based localization methods have achieved significant progress thanks to their reliable and drift-free localization capability. However, the pre-inst…
cs.RO2024
Towards Real-World Aerial Vision Guidance with Categorical 6D Pose Tracker
Jingtao Sun, Yaonan Wang, Danwei Wang
Tracking the object 6-DoF pose is crucial for various downstream robot tasks and real-world applications. In this paper, we investigate the real-world robot task of aerial vision g…