China Releases Embodied AI Version of Smart Crop Breeding Robot 'Ji'er'
On September 4 in Beijing, researchers unveiled an upgraded embodied AI version of 'Ji'er,' an autonomous crop breeding robot capable of flower stamen recognition, navigation, precision cross-pollination, and phenotypic data collection. Developed by a team led by Xu Cao at the Institute of Genetics and Developmental Biology under the Chinese Academy of Sciences, the robot works alongside bio-engineered crops designed to expose flower stigmas for robotic access. This development represents a significant cross-disciplinary convergence of biotechnology and embodied AI in precision agriculture. By automating labor-intensive manual cross-pollination and field phenotyping, the technology could drastically accelerate crop breeding cycles and lower labor costs in hybrid seed production. During demonstrations, 'Ji'er' used dual-arm collaboration—holding a pollen tube in one hand and a pollination pen in the other—to complete a single tomato stamen pollination in under 10 seconds. The system navigates dense foliage to pinpoint needle-tip-sized stamens, with a single pollen dip supporting approximately 50 individual pollination tasks.
## BACKGROUND
Embodied AI refers to artificial intelligence systems integrated into physical entities (such as autonomous robots) that interact dynamically with physical environments through integrated perception, reasoning, and physical action. In smart agriculture, plant phenotyping involves measuring physical and morphological traits of crops to evaluate growth, health, and genetic performance for breeding selection.