Robust Slip Detection and Material Classification via Spatiotemporal Transformers on a Uniformly-Illuminated Visuo-Tactile Sensor
基于均匀照明视觉-触觉传感器的时空Transformer的鲁棒滑移检测与材料分类
机构 * School of Artificial Intelligence, Beijing University of Posts and Telecommunications（北京邮电大学人工智能学院）
AI总结 本研究开发了带均匀RGB照明的视觉-触觉传感器与统一感知框架，采用双头部TimeSformer网络和ResNet-50主干，实现高精度滑移检测与物体分类，为机器人操作提供多模态感知基线。
Comments Accepted at IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2026. 8 pages, 10 figures
