Search Results for author: Ninad Khargonkar

Found 6 papers, 3 papers with code

RobotFingerPrint: Unified Gripper Coordinate Space for Multi-Gripper Grasp Synthesis

no code implementations22 Sep 2024 Ninad Khargonkar, Luis Felipe Casas, Balakrishnan Prabhakaran, Yu Xiang

We introduce a novel representation named as the unified gripper coordinate space for grasp synthesis of multiple grippers.

Diversity

RISeg: Robot Interactive Object Segmentation via Body Frame-Invariant Features

no code implementations4 Mar 2024 Howard H. Qian, Yangxiao Lu, Kejia Ren, Gaotian Wang, Ninad Khargonkar, Yu Xiang, Kaiyu Hang

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 objects.

Object Segmentation +2

Skeletal Point Representations with Geometric Deep Learning

1 code implementation3 Mar 2023 Ninad Khargonkar, Beatriz Paniagua, Jared Vicory

Skeletonization has been a popular shape analysis technique that models both the interior and exterior of an object.

Self-Supervised Unseen Object Instance Segmentation via Long-Term Robot Interaction

1 code implementation7 Feb 2023 Yangxiao Lu, Ninad Khargonkar, Zesheng Xu, Charles Averill, Kamalesh Palanisamy, Kaiyu Hang, Yunhui Guo, Nicholas Ruozzi, Yu Xiang

By applying multi-object tracking and video object segmentation on the images collected via robot pushing, our system can generate segmentation masks of all the objects in these images in a self-supervised way.

Multi-Object Tracking Object +6

Submodular Combinatorial Information Measures with Applications in Machine Learning

no code implementations27 Jun 2020 Rishabh Iyer, Ninad Khargonkar, Jeff Bilmes, Himanshu Asnani

In this paper, we study combinatorial information measures that generalize independence, (conditional) entropy, (conditional) mutual information, and total correlation defined over sets of (not necessarily random) variables.

BIG-bench Machine Learning Clustering +1

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