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Kaushik Shivakumar
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2020 – today
- 2024
- [j1]David C. Y. Chu
, Rithvik Panchapakesan
Optimizing Distributed Protocols with Query Rewrites. Proc. ACM Manag. Data 2(1): 2:1-2:25 (2024) - [i9]David Chu, Rithvik Panchapakesan, Shadaj Laddad, Lucky Katahanas, Chris Liu, Kaushik Shivakumar, Natacha Crooks
Optimizing Distributed Protocols with Query Rewrites [Technical Report]. CoRR abs/2404.01593 (2024) - 2023
- [c6]Vincent Schorp, Will Panitch, Kaushik Shivakumar, Vainavi Viswanath, Justin Kerr, Yahav Avigal, Danyal M. Fer, Lionel Ott, Ken Goldberg:
Self-Supervised Learning for Interactive Perception of Surgical Thread for Autonomous Suture Tail-Shortening. CASE 2023: 1-6 - [c5]Vainavi Viswanath, Kaushik Shivakumar, Mallika Parulekar, Jainil Ajmera, Justin Kerr, Jeffrey Ichnowski, Richard Cheng, Thomas Kollar, Ken Goldberg:
HANDLOOM: Learned Tracing of One-Dimensional Objects for Inspection and Manipulation. CoRL 2023: 341-357 - [c4]Satvik Sharma, Huang Huang, Kaushik Shivakumar, Lawrence Yunliang Chen, Ryan Hoque, Brian Ichter, Ken Goldberg:
Semantic Mechanical Search with Large Vision and Language Models. CoRL 2023: 971-1005 - [c3]Kaushik Shivakumar, Vainavi Viswanath, Anrui Gu, Yahav Avigal, Justin Kerr, Jeffrey Ichnowski, Richard Cheng, Thomas Kollar, Ken Goldberg:
SGTM 2.0: Autonomously Untangling Long Cables using Interactive Perception. ICRA 2023: 5837-5843 - [i8]Satvik Sharma, Kaushik Shivakumar, Huang Huang, Ryan Hoque, Alishba Imran, Brian Ichter, Ken Goldberg:
From Occlusion to Insight: Object Search in Semantic Shelves using Large Language Models. CoRR abs/2302.12915 (2023) - [i7]Vainavi Viswanath, Kaushik Shivakumar, Jainil Ajmera, Mallika Parulekar, Justin Kerr, Jeffrey Ichnowski
Learning to Trace and Untangle Semi-planar Knots (TUSK). CoRR abs/2303.08975 (2023) - [i6]Vincent Schorp, Will Panitch, Kaushik Shivakumar, Vainavi Viswanath, Justin Kerr, Yahav Avigal, Danyal M. Fer, Lionel Ott, Ken Goldberg:
Self-Supervised Learning for Interactive Perception of Surgical Thread for Autonomous Suture Tail-Shortening. CoRR abs/2307.06845 (2023) - 2022
- [c2]Ryan Hoque, Kaushik Shivakumar, Shrey Aeron, Gabriel Deza, Aditya Ganapathi, Adrian Wong, Johnny Lee, Andy Zeng, Vincent Vanhoucke
Learning to Fold Real Garments with One Arm: A Case Study in Cloud-Based Robotics Research. IROS 2022: 251-257 - [c1]Vainavi Viswanath, Kaushik Shivakumar, Justin Kerr, Brijen Thananjeyan, Ellen R. Novoseller, Jeffrey Ichnowski, Alejandro Escontrela, Michael Laskey, Joseph E. Gonzalez, Ken Goldberg:
Autonomously Untangling Long Cables. Robotics: Science and Systems 2022 - [i5]Ryan Hoque, Kaushik Shivakumar, Shrey Aeron, Gabriel Deza, Aditya Ganapathi, Adrian Wong, Johnny Lee, Andy Zeng, Vincent Vanhoucke, Ken Goldberg:
Learning to Fold Real Garments with One Arm: A Case Study in Cloud-Based Robotics Research. CoRR abs/2204.10297 (2022) - [i4]Vainavi Viswanath, Kaushik Shivakumar, Justin Kerr, Brijen Thananjeyan, Ellen R. Novoseller, Jeffrey Ichnowski
Autonomously Untangling Long Cables. CoRR abs/2207.07813 (2022) - [i3]Simeon Adebola, Satvik Sharma, Kaushik Shivakumar:
DEFT: Diverse Ensembles for Fast Transfer in Reinforcement Learning. CoRR abs/2209.12412 (2022) - [i2]Kaushik Shivakumar, Vainavi Viswanath, Anrui Gu, Yahav Avigal, Justin Kerr, Jeffrey Ichnowski
SGTM 2.0: Autonomously Untangling Long Cables using Interactive Perception. CoRR abs/2209.13706 (2022)
2010 – 2019
- 2018
- [i1]Blaine Rister, Darvin Yi, Kaushik Shivakumar, Tomomi Nobashi, Daniel L. Rubin:
CT organ segmentation using GPU data augmentation, unsupervised labels and IOU loss. CoRR abs/1811.11226 (2018)
Coauthor Index
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