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Approaching for manipulation: Robot termination pose generation via active object detection and task-oriented logical reasoning
DOI:10.1016/j.eswa.2026.131929.png)
Abstract
En 中文
• A novel framework for robots to approach objects. • The framework integrates reinforcement learning with logical reasoning. • Spatial attention and a new reward function improve model performance. • A viewpoint adjustment method for manipulation based on D-S theory. • Using large multimodal models to fine-tune viewpoint positions.
Keywords:
reinforcement learning
logical reasoning
spatial attention
viewpoint adjustment
manipulation
Journal
IF:
7.5
Papers:
2.9W
Citations:
10.2W
Organization
No organization information available

