Peter Ballentine
Papers
1
Total Citations
4
H-Index
1
About
Peter Ballentine is a researcher at the forefront of tactile sensing and acoustic signal processing, with a focus on leveraging low-cost MEMS microphones as high-speed vibration sensors for robotic touch. His key research areas span multi-feature extraction, super-resolution sensing, and fast microphone array systems. In his most cited work, "An Investigation of Multi-feature Extraction and Super-resolution with Fast Microphone Arrays" (2024, 4 citations), Ballentine demonstrates a novel approach to simultaneously classify surface texture and estimate contact position and velocity—a critical capability for dexterous manipulation and slip detection in robotics. By repurposing microphones as vibration sensors, his work addresses a fundamental challenge in tactile sensing: achieving rapid, high-resolution feedback without bulky or expensive hardware. This contribution holds significant promise for advancing prosthetic hands, industrial grippers, and human-robot interaction systems. Ballentine’s research bridges acoustics and robotics, offering a scalable path toward more sensitive and responsive tactile interfaces.
Research Focus
Key Achievements
Top Papers
- 1