3 accepted papers
Recent advances in large vision-language models (VLMs) and large language models (LLMs) have enabled zero-shot approaches to Visual Language Navigation (VLN), where an agent follows natural language instructions using only ego perception and reasoning. However, existing zero‑shot methods typically c…
Event-based visual odometry has recently gained attention for its high accuracy and real-time performance in fast-motion systems. Unlike traditional synchronous estimators that rely on constant-frequency (zero-order) triggers, event-based visual odometry can actively accumulate information to genera
Tactile-aware robot learning faces critical challenges in data collection and representation due to data scarcity and sparsity, and the absence of force feedback in existing systems. To address these limitations, we introduce a tactile robot learning system with both hardware and algorithm innovatio…