Siddharth Rupavatharam

Samsung (United States)

Papers

2

Total Citations

14

H-Index

2

About

Siddharth Rupavatharam is a robotics researcher focused on advancing physical human-robot interaction through novel acoustic sensing modalities. His work centers on developing low-cost, blindspot-free proximity detection and tactile sensing systems that enable safer, more intuitive robot behaviors. In his highly cited paper "AmbiSense" (2023, 7 citations), he introduced an acoustic field-based system using a single piezoelectric transducer to achieve proximity detection and bearing estimation without sensor blindspots—a critical advance for collaborative robotics. His complementary work "SonicFinger" (2023, 7 citations) extends this approach to robot end effectors, creating a full-surface pre-touch and contact detection tactile sensor that enables reactive pregrasping. By leveraging acoustic auras rather than traditional optical or capacitive sensors, Rupavatharam’s innovations offer robust, cost-effective solutions for real-time proximity and contact sensing. His contributions are particularly impactful for applications requiring precise, reactive manipulation in unstructured environments, demonstrating how simple acoustic principles can solve complex sensing challenges in robotics. With both papers published in 2023 and already garnering attention, Rupavatharam is establishing himself as a rising voice in tactile sensing and human-robot interaction.

Research Focus

Key Achievements

2
H-Index
2
Papers
14
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
AmbiSense: Acoustic Field Based Blindspot-Free Proximity Detection and Bearing Estimation
7 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Samsung (United States)

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago