Sarvesh Patil

Carnegie Mellon University

Papers

3

Total Citations

42

H-Index

3

About

Sarvesh Patil is redefining the frontier of robotic dexterity, bridging the gap between intricate manipulation and accessible hardware design. His research centers on hierarchical planning for dexterous manipulation and the development of novel, compliant robotic systems. Patil’s most impactful contribution, "Enhancing Dexterity in Robotic Manipulation via Hierarchical Contact Exploration" (2023, 26 citations), introduces HiDex, a framework that masterfully navigates the non-smooth dynamics of contact to enable both in-hand and extrinsic dexterity—a critical leap for robots performing complex, real-world tasks. He further advances the field with his work on "Linear Delta Arrays for Compliant Dexterous Distributed Manipulation" (2023, 8 citations), where he engineered a 64-unit delta robot array using 3D-printed compliant linkages, demonstrating a scalable approach to distributed manipulation. Notably, Patil is also committed to democratizing robotics through the "DeltaZ" robot (2022, 8 citations), a low-cost, centimeter-scale delta manipulator designed for education and research. By combining soft and rigid materials in an easily assembled, robust platform, Patil lowers barriers to entry, empowering a new generation of researchers and students to explore the complexities of dexterous manipulation.

Research Focus

Key Achievements

3
H-Index
3
Papers
42
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Enhancing Dexterity in Robotic Manipulation via Hierarchical Contact Exploration
26 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Carnegie Mellon University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago