1 citations · 1 across the 5 of their papers we have counts for
5 papers
Observable- and Positional-Encoding-Dependent Symmetry Readout from Neural Network Weights
Naoya Chiba, Satoshi Sugiyama, Yuki Uranishi
Post-hoc analysis of trained neural network weights often seeks to recover geometric structure directly from the parameters. We show that, for positional-encoding-equipped neural f…
Bi-LAT: Bilateral Control-Based Imitation Learning via Natural Language and Action Chunking with Transformers
Takumi Kobayashi, Masato Kobayashi, Thanpimon Buamanee +1
We present Bi-LAT, a novel imitation learning framework that unifies bilateral control with natural language processing to achieve precise force modulation in robotic manipulation.…
DABI: Evaluation of Data Augmentation Methods Using Downsampling in Bilateral Control-Based Imitation Learning with Images
Masato Kobayashi, Thanpimon Buamanee, Yuki Uranishi
Autonomous robot manipulation is a complex and continuously evolving robotics field. This paper focuses on data augmentation methods in imitation learning. Imitation learning consi…
ILBiT: Imitation Learning for Robot Using Position and Torque Information based on Bilateral Control with Transformer
Masato Kobayashi, Thanpimon Buamanee, Yuki Uranishi +1
Autonomous manipulation in robot arms is a complex and evolving field of study in robotics. This paper introduces an innovative approach to this challenge by focusing on imitation…
REST: Real-to-Synthetic Transform for Illumination Invariant Camera Localization
Sota Shoman, Tomohiro Mashita, Alexander Plopski +3
Accurate camera localization is an essential part of tracking systems. However, localization results are greatly affected by illumination. Including data collected under various li…