Kaushik Shivakumar
Kaushik Shivakumar coauthored Autonomously Untangling Long Cables. The study combines two robot arms, specialized grippers and motion primitives to untangle cables up to 2.7 metres long. Its SGTM algorithm manages slack and uses sliding and grasping actions. Experiments reported 67 percent success on isolated overhand and figure-eight knots and 50 percent on more complex configurations. These are results for the tested setup. Kaushik Shivakumar and the Autonomously Untangling Long Cables team received the RSS 2022 Best Systems Paper Award.
- Works
- 16
- Citations
- 1,397
- h-index
- 8
Publication numbers from OpenAlex, as of 14 October 2026.
Timeline
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2022
A shared Autonomously Untangling Long Cables contribution
Kaushik Shivakumar coauthored Autonomously Untangling Long Cables. The study combines two robot arms, specialized grippers and motion primitives to untangle cables up to 2.7 metres long. Its SGTM algorithm manages slack and uses sliding and grasping actions. Experiments reported 67 percent success on isolated overhand and figure-eight knots and 50 percent on more complex configurations. These are results for the tested setup.
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2022
Conference recognition
Shivakumar and the Autonomously Untangling Long Cables team received the Best Systems Paper Award at RSS 2022.
Sources and credits
Photo: kmindspark.github.io; Kaushik Shivakumar; creator not stated. License: Not stated by source. Source: kmindspark.github.io. Cropped to a square and resized. Ask us to remove or replace this photo.