This systematic study of vision-tactile representations across 12 contact-rich manipulation tasks finds that representations preserving spatial structure and temporal continuity consistently support more accurate prediction and stronger planning performance.
Dexterous manipulation depends on contact dynamics that are often only partially observable from vision. Recent World-Action Models (WAMs) couple predictive video world modeling with action generation, but remain largely vision-centric and therefore cannot directly model these contact dynamics. We present DexTacWAM, a...
Hao-Ran Yuan, Ze-Kai Wang, Boning Shao et al.· 0 citations
Contact-rich manipulation requires precise interaction feedback. While vision-centric imitation learning is prevalent, external visual observations provide indirect and ambiguous cues about contact states, particularly under occlusion or subtle object--gripper interactions; dedicated tactile or force sensors can provid...
Jiaying Chen, Wen-Long Dong, Yan Huang et al.· 0 citations
World models for manipulation are typically trained from video, yet the events that determine how manipulation unfolds, such as making and releasing contact, are difficult to observe visually and are often easier to sense through touch. We present the Dexterous Tactile World Model (DTWM), a video world model for future...
Zi-Yao Zeng, Xiatao Sun, Hao Wang et al.· 0 citations
Tactile information is essential for contact-rich manipulation tasks in robotics. Vision-based tactile sensors make it particularly easy to design end-to-end manipulation policies with tactile sensing, as they enable the use of existing encoders from computer vision. However, this has led to a huge variety of architect...
Seongjin Bien, Débora Oliveira Makowski, Carlo Kneissl et al.· 0 citations
Contact-rich manipulation requires estimating forces, slip and contact geometry that can remain ambiguous in scene images. Optical tactile sensors provide both visual observations of the contact surface and mechanical measurements, yet learning from these signals raises two challenges: representing contact beyond appea...
M. Sannikov, I. Mikhalchuk, Konstantin Gubernatorov et al.· 0 citations
Dexterous grasping in clutter poses a basic sensing question: when do tactile measurements and external wrench estimates improve on visual geometry? Occlusion and contact can obscure grasp quality, motivating a controlled evaluation of these interaction signals. We present a controlled real-world study over five tablet...
Hao-Lai Jiang, Luis Dominguez, Daniel Seita· 0 citations
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