2 papers
cs.RO2026
GSAM: A Generalizable and Safe Robotic Framework for Articulated Object Manipulation
Beichen Shao, Mengying Xie, Heng Su +5
Articulated object manipulation is a unique challenge for service robots. Existing methods employ end-to-end policy learning, visionmotion planning, and large-language/visual-langu…
cs.CV2025
SLTNet: Efficient Event-based Semantic Segmentation with Spike-driven Lightweight Transformer-based Networks
Xianlei Long, Xiaxin Zhu, Fangming Guo +4
Event-based semantic segmentation has great potential in autonomous driving and robotics due to the advantages of event cameras, such as high dynamic range, low latency, and low po…