Presents a runner-up competition solution combining object recognition, decluttering strategies, and multi-modal grasping via a custom gripper and novel clutter representations for sequential object picking.
Adapting Pre-Trained Vision Models for Novel Instance Detection and Seg- mentation,
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Towards Reliable Sequential Object Picking in Clutter: The Runner-up Solution to RGMC 2025
Presents a runner-up competition solution combining object recognition, decluttering strategies, and multi-modal grasping via a custom gripper and novel clutter representations for sequential object picking.