A single destination for timely, editor-curated robotics news from around the world.
Supply chain leaders are increasingly reevaluating their decision-making processes in planning, logistics, and operations. Continuous optimization is highlighted as a key strategy that allows teams to assess trade-offs more effectively and respond promptly to changing conditions. This approach aims...
AGIBOT has unveiled the Physical Reasoning dataset, marking the fourth release of its AGIBOT WORLD 2026 initiative. Announced on October 22, this dataset focuses on enabling robots to make decisions based on changing environments rather than merely executing complex movements. It emphasizes tasks su...
A recent study from The Picower Institute for Learning and Memory at MIT has uncovered how the brain encodes information during decision-making to maintain clarity among options. Researchers demonstrated that the brain organizes ensembles of neurons to create distinct electrical activity patterns th...
Manufacturers are increasingly leveraging data from automated equipment to enhance operational performance. However, the mere accumulation of data does not guarantee improved decision-making. Organizations must ensure that insights from recurring issues are communicated across teams to prevent repea...
Manufacturers face challenges in decision-making due to siloed data and departmental priorities. Engineering, procurement, and operations often operate independently, leading to short-term focus over long-term strategy. To adapt to pressures like AI and electrification, companies must connect data a...
Ocado Group emphasizes that the future of warehouse automation lies in intelligent decision-making rather than merely increasing the number of robots. As 3PLs, retailers, and e-commerce operators face challenges such as tighter service levels and unpredictable demand, the focus is shifting towards o...
Researchers at the University of Illinois Urbana Champaign have revealed new insights into brain decision-making processes, suggesting that these processes begin earlier than previously thought. This research, led by Professor Yurii Vlasov, indicates that early sensory brain regions play a crucial r...
A recent study published in the Journal of Field Robotics highlights advancements in autonomous robotic systems designed for agricultural applications. Researchers from various institutions collaborated to develop innovative algorithms that enhance the efficiency and precision of robotic farming equ...
Warehouse operations are increasingly leveraging technology integration to enhance visibility and decision-making. As supply chains evolve and customer demands rise, leaders are shifting focus from isolated technologies to interconnected systems. This shift aims to transform operational data into ac...
AGIBOT has unveiled the open-source 'Physical Reasoning' dataset, integral to AGIBOT WORLD 2026. This dataset is designed to improve robots' decision-making abilities in real-world scenarios by linking high-level reasoning with physical execution. The release of this dataset is significant as it ad...
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....
Recent advancements in integrated technology are transforming warehouse operations by providing comprehensive visibility into equipment performance and workflows. As supply chains evolve and customer demands increase, warehouse leaders are prioritizing the integration of various technologies, such a...
Aetina Corporation has announced the general availability of its DeviceEdge AIE-KT78 and AIE-KT68 edge AI systems. These systems support local multimodal generative AI, LLM, VLM, and VLA model execution, enabling seamless integration with high-resolution sensors, motors, joints, and actuators throug...
Recently, a medical team in China successfully performed a congenital heart defect closure surgery using an AI-assisted ultrasound robot. This operation, conducted by the Sixth Medical Center of the PLA General Hospital, involved a 48-year-old male patient and marks the first global use of an AI ult...
Recently, a medical team in China completed the world's first AI ultrasound robot-assisted interventional procedure for congenital heart disease. Conducted by the Cardiovascular Medicine Department of the Sixth Medical Center of the PLA General Hospital, this surgery marks a significant milestone in...
MIT neuroscientists have identified a brain circuit that connects sensory decision-making regions with those that assess recent sensory changes. This circuit enables the brain to compare past sensory experiences with current information, aiding in decision-making. The findings could have implication...
DJI has revealed the winners of its DJI Enterprise Drone Onboard AI Challenge 2026, aimed at enhancing the capabilities of enterprise drones. The competition encourages the development of AI models that enable drones to make real-time decisions, addressing various applications such as crop counting,...
Synthium is advancing humanoid AI by operating human-in-the-loop simulations that generate essential motion, voice, and reasoning data. This innovative approach allows for more realistic and effective decision-making processes in embodied AI systems. The significance of Synthium's work lies in its...
The Beijing Humanoid Robot Innovation Center and Renmin University of China's Gaoling Artificial Intelligence Institute have launched the Robo-ValueRL open-source framework. This initiative aims to enhance humanoid robots' decision-making capabilities in precision tasks, such as semiconductor assemb...
Starmind is a pivotal element in SpaceX's estimated $1.75 trillion IPO valuation, despite currently generating no confirmed revenue. The stock price reflects optimistic projections regarding AI infrastructure growth, which Starmind has yet to substantiate. As of early July 2026, SpaceX's stock has d...
A company is advancing its efforts to enhance autonomous asset optimization for manufacturers by leveraging data foundations and predictive technologies. This initiative aims to streamline operations and improve efficiency within the manufacturing sector. By integrating advanced data analytics and p...
Researchers at Iowa State University, in collaboration with ETH Zürich, have introduced a novel framework designed to enhance the decision-making capabilities of autonomous robots in situations where rules may conflict. The findings, published in the IEEE Transactions on Robotics, outline a system r...
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
Daily robotics news, in-depth analysis, conference highlights, and discussions with professionals worldwide.
