A single destination for timely, editor-curated robotics news from around the world.
A recent report indicates that after the peak demand for memory chips driven by AI in Q4 2027, humanoid robots are set to become a significant new source of demand. According to Counterpoint Research, the DRAM market for humanoid robots is projected to grow approximately 20 times in five years, from...
Neura Robotics has introduced Neuron AI, a multimodal foundation model designed for physical AI. This innovative model integrates 3D vision, touch, audio, robot state, and language with memory, allowing robots to process information beyond visual input and retain context when objects are not visible...
Monolithos is developing a software layer called Robot Brain, designed to retain historical data when robots fail and humans intervene. The company is seeking robotics teams to test this memory service, which records failures, corrections, and outcomes to improve decision-making processes in robots....
In-home assistive robots are being developed to clean and organize homes while owners are away. However, without improved memory capabilities, these robots may create more issues than they resolve. For instance, if a robot misplaces important items like wallets and keys, it could lead to significant...
NVIDIA has launched the Jetson Thor product line, emphasizing that memory bandwidth is essential for robotic intelligence rather than just processing power. On July 16, NVIDIA announced two mid-range products, the T3000 and T2000, set to release in Q1 2027. Despite the T3000 having only 72% of the G...
At the World Artificial Intelligence Conference (WAIC), a notable trend emerged in the robotics sector, with an increasing number of VLA models attempting to enable robots to execute longer task chains. A significant challenge has been the fundamental conflict between 'contextual memory' and 'real-t...
AMD has introduced the Kria module and Ryzen AI Embedded X100 series, aimed at enhancing real-time control and processing for robotics applications. The new platform promises deterministic performance with unified memory architecture, targeting both firm and hard real-time control through advanced o...
Cornell Tech researchers, led by Yifan He and Jae-sun Seo, have developed an innovative optical receiver that can modify its memory using light. This technology, presented at the IEEE/JSAP Symposium, aims to alleviate the memory demands of AI systems, potentially reducing energy consumption in data...
TranscEngram, a robotics startup focused on developing autonomous intelligence, has successfully secured hundreds of millions in angel funding. The investment round saw participation from a diverse group of industry and state-owned enterprises, including Charoen Pokphand Group’s China National Pharm...
A consortium of Chinese research institutions has unveiled RoboMemArena, marking the introduction of the first comprehensive benchmark designed to assess robotic memory in long-horizon manipulation tasks. This initiative aims to enhance the capabilities of robots in performing complex tasks that req...
A new standardized evaluation system for robot memory, known as the RoboMME benchmark, has been introduced by a collaborative effort involving Michigan University, Stanford University, and Figure AI. This innovative framework assesses robot memory across four key dimensions: temporal, spatial, objec...
Physical Intelligence (Pi) has introduced a groundbreaking technology known as Multi-Scale Embodied Memory (MEM), designed to enhance robotic capabilities in executing complex, long-term tasks. This innovative hybrid architecture integrates short-term video encoding with long-term textual summarizat...
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
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