Robust Readout of Cross-Point Resistive Arrays via Time-Domain Optimization
Robust Readout of Cross-Point Resistive Arrays via Time-Domain Optimization
This research proposes a time-domain optimization method to improve the robustness of reading cross-point resistive arrays used in high-density tactile sensing. Unlike conventional frequency-based methods that struggle with noise and long interconnects, this approach fits a time-domain observation model to measured waveforms. Simulations on a 16x16 array show a 20% reduction in mean readout error compared to the baseline. Validation over 1,000 trials indicates further improvements, reducing mean error by 24.6% and standard deviation by 77.6%, confirming enhanced estimation robustness under noisy observation conditions typical of robotic sensing environments.
The paper presents a time-domain optimization method for reading cross-point resistive arrays, demonstrating reduced readout error in simulations of 16x16 tactile sensor configurations under noisy conditions.
Source: arXiv Robotics — research abstracts · Read original article ↗
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Publisher-reported claims, with original evidence. These results have not been independently verified by RoboSignal.
Reported numbers
trials conducted
>1,000 trials
Reported trials
View original evidence
20% compared with the baseline method. Furthermore, validation over 1,000 trials showed that the proposed method achieves more robust estimation than the conventional method, reducing the mean error and standard deviation by 24.6% and 77.6%, respectively. The improvement was also confirmed in cross-point array simulations with resistance distributions emulating tactile sensor responses.
Open source S4trials for validation
>1,000 trials
Reported trials
View original evidence
20% compared with the baseline method. Furthermore, validation over 1,000 trials showed that the proposed method achieves more robust estimation than the conventional method, reducing the mean error and standard deviation by 24.6% and 77.6%, respectively. The improvement was also confirmed in cross-point array simulations with resistance distributions emulating tactile sensor responses.
Open source S4
- paper: not_reported
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20% compared with the baseline method. Furthermore, validation over 1,000 trials showed that the proposed method achieves more robust estimation than the conventional method, reducing the mean error and standard deviation by 24.6% and 77.6%, respectively. The improvement was also confirmed in cross-point array simulations with resistance distributions emulating tactile sensor responses.
Open source S4
ust readout of cross-point resistive arrays. The method determines resistance values by fitting a time-domain observation model to the measured waveform over the interval, rather than relying solely on spectral amplitudes. By exploiting the full waveform, the proposed method improves robustness under noisy observation conditions. In simulations of a 16 x 16 array, the proposed method reduced the mean readout error by
Open source S3
Source：arXiv Robotics — research abstracts · arxiv.org