Google DeepMind releases two groundbreaking AI models that transform robots into internet-savvy problem solvers capable of planning complex multi-step tasks like sorting laundry by color and packing weather-appropriate suitcases, achieving 20-40% success rates in early artificial general intelligence demonstrations.
DeepMind launches Gemini Robotics 1.5 featuring groundbreaking Motion Transfer technology that allows robots to instantly share learned skills across different platforms without retraining, splitting AI into separate systems for high-level reasoning and motor control while demonstrating successful skill transfers between multiple robot types.
Google DeepMind launches Gemini Robotics 1.5, a revolutionary AI system that enables robots to think, plan, and execute complex multi-step tasks while transferring learned behaviors across different robotic platforms without specialized training.
Alibaba Cloud integrates Nvidia's embodied AI development toolkit, providing users with data processing, reinforcement learning and model training tools for physical robot development in a partnership that signals positive momentum for Chinese AI robotics companies.
Experts convene to explore generative AI's potential for developing 'world models' that learn like infants and enabling breakthroughs in human-robot collaboration across industries.
Figure, a robotics company, secures $1 billion in funding at a $39 billion valuation, accelerating its efforts to deploy general-purpose humanoid robots in homes and businesses, while scaling GPU infrastructure and data collection initiatives.
Engineers unveil a water-powered humanoid robot with lifelike muscles, tendons, and ligaments that mimic human anatomy, allowing over 200 degrees of freedom and natural motion through a hydraulic 'heart' pumping water to move the artificial muscles.
OpenAI intensifies robotics research, hiring experts in humanoid robots and algorithms, with job listings signaling focus on teleoperation and simulation for robot training, accelerating pursuit of artificial general intelligence.
A pioneering artificial intelligence model, trained on real-world physical interactions, learns to adapt and generalize through a feedback loop between its virtual embodiment and the environment, with open-source WALL models enabling further research and applications.
UCLA engineers unveil a wearable, AI-powered brain-computer interface that decodes brain signals in real-time to move robotic arms or cursors, enabling faster task completion and promising assistance for those with limited mobility.