Sandeep Inuganti — accepted AI-conference papers

2025

JENGA: Object selection and pose estimation for robotic grasping from a stack

Sai Srinivas Jeevanandam, Sandeep Inuganti, Shreedhar Govil, Didier Stricker, Jason R. Rambach

IROS 2025

Vision-based robotic object grasping is typically investigated in the context of isolated objects or unstructured object sets in bin picking scenarios. However, there are several settings, such as construction or warehouse automation, where a robot needs to interact with a structured object formatio

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2024

HiPose: Hierarchical Binary Surface Encoding and Correspondence Pruning for RGB-D 6DoF Object Pose Estimation

Yongliang Lin, Yongzhi Su, Praveen Nathan, Sandeep Inuganti, Yan Di, Martin Sundermeyer +4

CVPR 2024poster

In this work we present a novel dense-correspondence method for 6DoF object pose estimation from a single RGB-D image. While many existing data-driven methods achieve impressive performance they tend to be time-consuming due to their reliance on rendering-based refinement approaches. To circumvent t…

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