ACE Robotics Launches ACE-Brain-0.6 for Enhanced Spatial Perception

ACE Robotics has launched ACE-Brain-0.6, an embodied foundation model with approximately 9 billion parameters, focusing on mapping language instructions to precise locations and object parts in physical scenes. The model is based on Qwen3.5-9B, with the vision encoder frozen and the language model fine-tuned on about one million spatial supervision samples, covering roughly 940,000 images and 2.7 million question-answer pairs. According to the company's results, ACE-Brain-0.6 outperformed OpenAI's GPT-6 Astra in six out of eight grounding evaluations.