2 papers
cs.RO2026
Verify, Act, Distill: Turning Test-Time Compute into Test-Time Adaptation for Vision-Language-Action Models
Kaneyoshi Hiratsuka, Satoshi Yamamori, Jun Morimoto
Test-time compute (TTC), which scores multiple candidate actions at inference time, is a powerful way to improve the execution performance of vision-language-action (VLA) models, b…
cs.RO2026
S2A2: Audio-Visual Imitation Learning for Manipulation Tasks Using Acoustic Spatial Information
Kaneyoshi Hiratsuka, Benjamin Yen, Ryosuke Kojima
Acoustic information provides rich cues about object location, material properties, and changes caused by contact or motion. This paper introduces a new set of acoustic-aware manip…