Obstacle avoidance approach for quadruped robot based on multi-modal information fusion
This paper proposes a multimodal information fusion neural network model that integrates visual, radar, and proprioceptive information. The model uses a spatial crossmodal attention mechanism to fuse the information, allowing the robot to focus on the most relevant information for obstacle avoidance...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Science Press
2024-08-01
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| Series: | 工程科学学报 |
| Subjects: | |
| Online Access: | http://cje.ustb.edu.cn/article/doi/10.13374/j.issn2095-9389.2023.07.01.002 |