Brijen Thananjeyan
Brijen Thananjeyan 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. The Autonomously Untangling Long Cables team, including Brijen Thananjeyan, received the RSS 2022 Best Systems Paper Award. The award recognized the shared paper and its authors.
- Works
- 42
- Citations
- 1,009
- h-index
- 17
Publication numbers from OpenAlex, as of 14 October 2026.
Timeline
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2022
A shared Autonomously Untangling Long Cables contribution
Brijen Thananjeyan 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
The Autonomously Untangling Long Cables team, including Brijen Thananjeyan, received the RSS 2022 Best Systems Paper Award. The award recognized the shared paper and its authors.
Sources and credits
Photo: bthananjeyan.github.io; Brijen Thananjeyan; creator not stated. License: Not stated by source. Source: bthananjeyan.github.io. Cropped to a square and resized. Ask us to remove or replace this photo.