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cs.RO2025
Exploring Embodied Multimodal Large Models: Development, Datasets, and Future Directions
Shoubin Chen, Zehao Wu, Kai Zhang +5
Embodied multimodal large models (EMLMs) have gained significant attention in recent years due to their potential to bridge the gap between perception, cognition, and action in com…
cs.RO2024
GaussianPU: A Hybrid 2D-3D Upsampling Framework for Enhancing Color Point Clouds via 3D Gaussian Splatting
Zixuan Guo, Yifan Xie, Weijing Xie +3
Dense colored point clouds enhance visual perception and are of significant value in various robotic applications. However, existing learning-based point cloud upsampling methods a…