Kendall Koe — accepted AI-conference papers

2025

Active Semantic Mapping with Mobile Manipulator in Horticultural Environments

Jose Cuaran, Kulbir Singh Ahluwalia, Kendall Koe, Naveen Kumar Uppalapati, Girish Chowdhary

ICRA 2025

Semantic maps are fundamental for robotics tasks such as navigation and manipulation. They also enable yield prediction and phenotyping in agricultural settings. In this paper, we introduce an efficient and scalable approach for active semantic mapping in horticultural environments, employing a mobi

Cited by 2 Source ↗code ↗Scholar ↗

2025

Precision Harvesting in Cluttered Environments: Integrating End Effector Design with Dual Camera Perception

Kendall Koe, Poojan Kalpeshbhai Shah, Benjamin Walt, Jordan Westphal, Samhita Marri, Shivani Kamtikar +4

ICRA 2025

Due to labor shortages in specialty crop industries, a need for robotic automation to increase agricultural efficiency and productivity has arisen. Previous manipulation systems harvest well in uncluttered and structured environments. High tunnel environments are more compact and cluttered in nature

Cited by 2 Source ↗Scholar ↗