5 citations · 5 across the 3 of their papers we have counts for
4 papers
RISeg: Robot Interactive Object Segmentation via Body Frame-Invariant Features
Howard H. Qian, Yangxiao Lu, Kejia Ren +4
In order to successfully perform manipulation tasks in new environments, such as grasping, robots must be proficient in segmenting unseen objects from the background and/or other o…
Skeletal Point Representations with Geometric Deep Learning
Ninad Khargonkar, Beatriz Paniagua, Jared Vicory
Skeletonization has been a popular shape analysis technique that models both the interior and exterior of an object. Existing template-based calculations of skeletal models from an…
Self-Supervised Unseen Object Instance Segmentation via Long-Term Robot Interaction
Yangxiao Lu, Ninad Khargonkar, Zesheng Xu +6
We introduce a novel robotic system for improving unseen object instance segmentation in the real world by leveraging long-term robot interaction with objects. Previous approaches…
NeuralGrasps: Learning Implicit Representations for Grasps of Multiple Robotic Hands
Ninad Khargonkar, Neil Song, Zesheng Xu +2
We introduce a neural implicit representation for grasps of objects from multiple robotic hands. Different grasps across multiple robotic hands are encoded into a shared latent spa…