3 papers
cs.RO2026
Vision-Based Tactile Intelligence for Robotics: Sensing, Learning, and Embodied Manipulation
Peng Zhou, Jun Hu, Sihan Chen +12
Tactile sensing is essential for robots in contact-rich tasks, yet many tactile sensors still provide sparse, low-dimensional signals that do not capture sufficient information for…
cs.LG2026
What Are We Actually Decoding? Source Attribution for Non-Invasive Brain-to-Language Retrieval
Xinyu Zhang, Sichao Liu, Runhao Lu +2
In non-invasive neural language decoding, results can be inflated by sources that are not stimulus-evoked neural evidence: decoder priors, embedding-based metrics, and non-neural s…
cs.LG2026
MindAlign: Bridging EEG, Vision, and Language for Zero-Shot Visual Decoding
Zexuan Chen, Sichao Liu, Runhao Lu +4
Visual decoding from brain signals is a key challenge at the intersection of computer vision and neuroscience, requiring methods that bridge neural representations and computationa…