Nimrod Curtis
Papers
2
Total Citations
29
H-Index
2
About
Nimrod Curtis is a leading researcher in robotic tactile sensing, with a focus on developing accessible, high-resolution solutions for dexterous manipulation. His key contributions center on bridging the sim-to-real gap in tactile perception and creating low-cost hardware. Curtis’s most notable work, "AllSight: A Low-Cost and High-Resolution Round Tactile Sensor With Zero-Shot Learning Capability" (2023), introduces a novel optical tactile sensor that is both easy to fabricate and capable of zero-shot inference—eliminating the need for individual calibration. This paper has garnered 26 citations, reflecting its impact on the field. Building on this, his 2024 paper, "Augmenting Tactile Simulators with Real-like and Zero-Shot Capabilities," addresses the persistent reality gap in tactile simulation, demonstrating that models trained on his simulated data can achieve zero-shot transfer to real sensors without fine-tuning. This work, with 3 citations, underscores his commitment to scalable, practical solutions. Curtis’s achievements include advancing low-cost sensor design and enabling robust, calibration-free tactile learning, making him a key figure in the push toward truly autonomous robotic manipulation.
Research Focus
Key Achievements
Top Papers
- 1
- 2Augmenting Tactile Simulators with Real-like and Zero-Shot Capabilities3 citations · 2024