3 accepted papers
Despite extensive research on tactile sensing, exploiting it to model and interpret the external world remains largely underexplored. We propose a unified framework that leverages vision-based tactile sensors to construct fine-grained object models, enhancing situational understanding. This frame wo
Forecasting 3D human motion is an important embodiment of fine-grained understanding and cognition of human behavior by artificial agents. Current approaches excessively rely on implicit network modeling of spatiotemporal relationships and motion characteristics, falling into the passive learning tr
Vision-based tactile sensors have recently gained prominence due to their superior resolution and ability to capture multi-dimensional contact information. However, even when sensors share the same sensing principle, variations in production factors can lead to differences in the color patterns of t