21 citations · 61 across the 19 of their papers we have counts for
5 papers · 1 filter
Unified Understanding of Environment, Task, and Human for Human-Robot Interaction in Real-World Environments
Yuga Yano, Akinobu Mizutani, Yukiya Fukuda +3
To facilitate human--robot interaction (HRI) tasks in real-world scenarios, service robots must adapt to dynamic environments and understand the required tasks while effectively co…
Enhancing Neural Network Robustness Against Fault Injection Through Non-linear Weight Transformations
Ninnart Fuengfusin, Hakaru Tamukoh
Deploying deep neural networks (DNNs) in real-world environments poses challenges due to faults that can manifest in physical hardware from radiation, aging, and temperature fluctu…
Harden Deep Neural Networks Against Fault Injections Through Weight Scaling
Ninnart Fuengfusin, Hakaru Tamukoh
Deep neural networks (DNNs) have enabled smart applications on hardware devices. However, these hardware devices are vulnerable to unintended faults caused by aging, temperature va…
Hibikino-Musashi@Home 2024 Team Description Paper
Kosei Isomoto, Akinobu Mizutani, Fumiya Matsuzaki +25
This paper provides an overview of the techniques employed by Hibikino-Musashi@Home, which intends to participate in the domestic standard platform league. The team has developed a…
Haptic in-sensor computing device made of carbon nanotube-polydimethylsiloxane nanocomposites
Kouki Kimizuka, Saman Azhari, Shoshi Tokuno +5
The importance of haptic in-sensor computing devices has been increasing. In this study, we successfully fabricated a haptic sensor with a hierarchical structure via the sacrificia…