A novel framework enabling warehouse robots to seamlessly collaborate with humans through multimodal interactions during shelf-picking tasks.

• Integrates gesture recognition, verbal commands, and visual/auditory feedback for intuitive communication
• Employs physics-based reasoning to enhance robot decision-making capabilities
• Creates intelligent task division between humans and robots for optimal workflow
• Provides a practical solution for warehouse automation without eliminating human workers

This engineering breakthrough addresses critical automation challenges in factory environments by creating robots that can truly collaborate rather than simply execute programmed tasks, making human-robot teams more productive and adaptable.

A Multi-Modal Interaction Framework for Efficient Human-Robot Collaborative Shelf Picking