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cs.RO2026
GeoTLM: Geometry-aware Tactile-Language Models for Contact Motion Orientation Reasoning of Dynamic Objects
Qiutian Li, Zinan Liu, Lin Wang
Modern tactile-language models (TLMs) have shown potential for robot learning tasks, such as material and texture recognition. However, for contact-rich scenarios, these TLMs strug…
cs.RO2026
VL2Spike: Spike-driven Distillation from VLMs for Low-Power Visual Perception in Embodied AI
Zinan Liu, Eric Zheng, Soumyaratna Debnath +3
Spiking neural networks (SNNs) are brain-inspired, event-driven models that compute with sparse spikes, which enables highly efficient visual perception in resource-constrained emb…