Cornell Initiative for Digital Agriculture (CIDA) Seminar Series

Tree fruit growers worldwide are grappling with labor shortages in crucial operations such as harvesting and pruning. The development of robotic solutions for these labor-intensive tasks has generated significant interest. However, existing efforts have proven to be excessively expensive, slow, or necessitate orchard reconfiguration for functionality.

In this presentation, I introduce three alternative approaches to agriculture robot development: 1) Introducing a novel soft-growing multi-robot platform to reduce costs and enhance overall responsiveness. 2) Utilizing a cyber-physical system that facilitates human participation for collaborative robotic apple harvesting. 3) Learning human-robot collaboration behaviors to optimize efficiency. Leveraging human-robot interaction to address existing individual shortcomings of humans and robots will enable mutual learning of behaviors to enhance overall efficiency.

The Cornell Institute for Digital Agriculture (CIDA), a faculty led initiative focused on creating a strong voice in the emerging area of Digital Agriculture (DA), invites Dr. Ming Luo to present his research for CIDA’s monthly seminar series.

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