On the hardware front, neuromorphic vision sensors (event cameras) and spiking neural networks may reduce latency, making vision-language processing more energy-efficient for mobile robots.
Multimodal VLMs serve as the cognitive engine for modern robots.They bridge the gap between text tokens and visual pixels. Architecture Overview artificial vision and language processing for robotics epub
The most exciting developments lie in . Models like CLIP (Contrastive Language–Image Pre-training), Flamingo, and PaLM-E fuse visual and textual representations in a shared embedding space. These models enable zero-shot recognition—identifying objects never seen during training, based solely on language descriptions. On the hardware front, neuromorphic vision sensors (event