Researchers from the Cognitive Neurotechnology Unit, Vision and Action Laboratory, and Visual Perception and Cognition ...
It is important to clarify: we do not use VLMs to drive the robot. Using a heavy cloud model to steer in real time would ...
Abstract: End-to-end autonomous driving has emerged as a promising paradigm integrating perception, decision-making, and control within a unified learning framework. Recently, Vision-Language Models ...
Abstract: As the real propagation environment becomes increasingly complex and dynamic, millimeter wave beam prediction faces significant challenges. However, the powerful cross-modal representation ...
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Video: New AI model gives humanoid robots 90 percent success in complex missions
Flexion Robotics has introduced Reflect v1.0, a robotics intelligence platform that enables humanoid robots ...
The biggest innovation over the last year is that inference-time scaling techniques that have been pioneered in natural language models have now come to visual language models,” said Eric Heim, chief ...
description [CVPR 2026][Multimodal VLM][GRPO] The paper argues that the common assumption that "the GRPO training paradigm for linguistic reasoning can be directly transferred to visual perception ...
description [CVPR 2026][Multimodal VLM][Paper Note] Addressing the MLLM failure mode of "seeing details but failing to understand context" (termed Contextual Blindness by the authors), this paper ...
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