Papers

6

Total Citations

73

H-Index

5

About

Akhil Padmanabha is a robotics researcher whose work sits at the compelling intersection of assistive technology, human-robot interaction, and novel sensing modalities. His research is driven by a core mission: empowering individuals with motor impairments and disabilities to reclaim independence in their daily lives through intelligent robotic systems. Padmanabha has made significant contributions to physically assistive robotics, pioneering speech-driven interfaces that harness Large Language Models to enable intuitive control of assistive robots. His most-cited work, "VoicePilot" (30 citations), exemplifies this vision, while complementary projects like "HAT" and "Towards an LLM-Based Speech Interface for Robot-Assisted Feeding" extend these capabilities across diverse assistive contexts. His 2024 work demonstrating wearable teleoperation for a person with quadriplegia underscores his commitment to real-world, human-centered deployment. Beyond assistive interfaces, Padmanabha has advanced robotic sensing through innovative hardware design. His "OmniTact" tactile sensor (13 citations) introduced multi-directional, high-resolution touch sensing, while "SLURP!" showcased creative pre-touch spectroscopy for identifying liquids and granular materials. Together, his growing body of work — accumulating over 70 citations — reflects a researcher thoughtfully bridging cutting-edge AI, novel sensing, and meaningful humanitarian impact.

Research Focus

Key Achievements

5
H-Index
6
Papers
73
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
VoicePilot: Harnessing LLMs as Speech Interfaces for Physically Assistive Robots
30 citations · 2024
📈 Most Prolific Year: 2024 (3 Papers)
🤝 Key Collaborators: 26
🏛 Institutions: Carnegie Mellon University, University of California, Berkeley, Carnegie Robotics (United States)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago