CT organ segmentation using GPU data augmentation, unsupervised labels and IOU loss. - Blaine Rister; Darvin Yi; Kaushik Shivakumar; Tomomi Nobashi; Daniel L. Rubin (CoRR, 2018)

Learning to Fold Real Garments with One Arm: A Case Study in Cloud-Based Robotics Research. - Ryan Hoque; Kaushik Shivakumar; Shrey Aeron; Gabriel Deza; Aditya Ganapathi; Adrian Wong; Johnny Lee; Andy Zeng 001; Vincent Vanhoucke; Ken Goldberg (IROS, 2022)

Autonomously Untangling Long Cables. - Vainavi Viswanath; Kaushik Shivakumar; Justin Kerr; Brijen Thananjeyan; Ellen R. Novoseller; Jeffrey Ichnowski; Alejandro Escontrela; Michael Laskey; Joseph E. Gonzalez; Ken Goldberg (Robotics: Science and Systems, 2022)

DEFT: Diverse Ensembles for Fast Transfer in Reinforcement Learning. - Simeon Adebola; Satvik Sharma; Kaushik Shivakumar (CoRR, 2022)

Self-Supervised Learning for Interactive Perception of Surgical Thread for Autonomous Suture Tail-Shortening. - Vincent Schorp; Will Panitch; Kaushik Shivakumar; Vainavi Viswanath; Justin Kerr; Yahav Avigal; Danyal M. Fer; Lionel Ott; Ken Goldberg (CASE, 2023)

Semantic Mechanical Search with Large Vision and Language Models. - Satvik Sharma; Huang Huang; Kaushik Shivakumar; Lawrence Yunliang Chen; Ryan Hoque; Brian Ichter; Ken Goldberg (CoRL, 2023)

HANDLOOM: Learned Tracing of One-Dimensional Objects for Inspection and Manipulation. - Vainavi Viswanath; Kaushik Shivakumar; Mallika Parulekar; Jainil Ajmera; Justin Kerr; Jeffrey Ichnowski; Richard Cheng; Thomas Kollar; Ken Goldberg (CoRL, 2023)

SGTM 2.0: Autonomously Untangling Long Cables using Interactive Perception. - Kaushik Shivakumar; Vainavi Viswanath; Anrui Gu; Yahav Avigal; Justin Kerr; Jeffrey Ichnowski; Richard Cheng; Thomas Kollar; Ken Goldberg (ICRA, 2023)

From Occlusion to Insight: Object Search in Semantic Shelves using Large Language Models. - Satvik Sharma; Kaushik Shivakumar; Huang Huang; Ryan Hoque; Alishba Imran; Brian Ichter; Ken Goldberg (CoRR, 2023)

Learning to Trace and Untangle Semi-planar Knots (TUSK). - Vainavi Viswanath; Kaushik Shivakumar; Jainil Ajmera; Mallika Parulekar; Justin Kerr; Jeffrey Ichnowski; Richard Cheng; Thomas Kollar; Ken Goldberg (CoRR, 2023)

Optimizing Distributed Protocols with Query Rewrites [Technical Report]. - David Chu; Rithvik Panchapakesan; Shadaj Laddad; Lucky Katahanas; Chris Liu; Kaushik Shivakumar; Natacha Crooks; Joseph M. Hellerstein; Heidi Howard (CoRR, 2024)

Optimizing Distributed Protocols with Query Rewrites. - David C. Y. Chu; Rithvik Panchapakesan; Shadaj Laddad; Lucky E. Katahanas; Chris Liu; Kaushik Shivakumar; Natacha Crooks; Joseph M. Hellerstein; Heidi Howard (Proc. ACM Manag. Data, 2024)