5 papers
AgriChrono: A Multi-modal Dataset Capturing Crop Growth and Lighting Variability with a Field Robot
Jaehwan Jeong, Tuan-Anh Vu, Mohammad Jony +4
Advances in AI and Robotics have accelerated significant initiatives in agriculture, particularly in the areas of robot navigation and 3D digital twin creation. A significant bottl…
Your Vision-Language-Action Model Already Has Attention Heads For Path Deviation Detection
Jaehwan Jeong, Evelyn Zhu, Jinying Lin +5
Vision-Language-Action (VLA) models have demonstrated strong potential for predicting semantic actions in navigation tasks, demonstrating the ability to reason over complex linguis…
High-Precision 6DOF Pose Estimation via Global Phase Retrieval in Fringe Projection Profilometry for 3D Mapping
Sehoon Tak, Keunhee Cho, Sangpil Kim +1
Digital fringe projection (DFP) enables micrometer-level 3D reconstruction, yet extending it to large-scale mapping remains challenging because six-degree-of-freedom pose estimatio…
Vision-Guided Targeted Grasping and Vibration for Robotic Pollination in Controlled Environments
Jaehwan Jeong, Tuan-Anh Vu, Radha Lahoti +4
Robotic pollination offers a promising alternative to manual labor and bumblebee-assisted methods in controlled agriculture, where wind-driven pollination is absent and regulatory…
Reconstruction Using the Invisible: Intuition from NIR and Metadata for Enhanced 3D Gaussian Splatting
Gyusam Chang, Tuan-Anh Vu, Vivek Alumootil +4
While 3D Gaussian Splatting (3DGS) has rapidly advanced, its application in agriculture remains underexplored. Agricultural scenes present unique challenges for 3D reconstruction m…