no code implementations • 22 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.
no code implementations • 4 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.
1 code implementation • 27 Jun 2023 • Ninad Khargonkar, Sai Haneesh Allu, Yangxiao Lu, Jishnu Jaykumar P, Balakrishnan Prabhakaran, Yu Xiang
We present a new reproducible benchmark for evaluating robot manipulation in the real world, specifically focusing on pick-and-place.
1 code implementation • 3 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.
1 code implementation • 7 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.
no code implementations • 27 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.