Vainavi Viswanath

University of California, Berkeley

Papers

6

Total Citations

65

H-Index

5

About

Vainavi Viswanath is a pioneering roboticist whose research focuses on the autonomous manipulation of deformable linear objects—specifically, untangling cables, wires, and ropes. Her work addresses one of robotics’ most persistent challenges: enabling robots to perceive and interact with highly flexible, self-occluding objects in real-world settings. Viswanath’s major contributions include developing algorithms for autonomously untangling long cables (2022, 20 citations) and disentangling dense multi-cable knots through her IRON-MAN framework (2021, 19 citations), which formalizes the problem of removing crossings between multiple entangled cables. She has also advanced interactive perception techniques to reduce uncertainty during manipulation (SGTM 2.0, 2023, 12 citations) and pioneered sim-to-real transfer strategies for fabric manipulation policies (2022, 7 citations). Her iterative approach using task-relevant keypoints for dense knots (2020, 5 citations) demonstrates her ability to tackle problems with high-dimensional configuration spaces and visual homogeneity. With cumulative citations exceeding 65 across her most-cited works, Viswanath’s research has significant implications for automation in homes, hospitals, and industrial warehouses where cable management is a critical bottleneck.

Research Focus

Key Achievements

5
H-Index
6
Papers
65
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Autonomously Untangling Long Cables
20 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 22
🏛 Institutions: University of California, Berkeley

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago