Flexiv, a global leader in general-purpose robotics solutions, is proud to announce the completion of its latest successful installation, an automated ironing system for car seat manufacturing.
Researchers from North Carolina State University developed a method that uses two-dimensional images taken by multiple cameras to improve the mapping of three-dimensional spaces by artificial intelligence (AI) programs.
Researchers from Tsinghua University have attempted to overcome the challenges of robotic recognition of various common, yet complex, objects by developing an intelligent robot tactile system to sort garbage.
A consortium of British marine technology companies has secured Innovate UK funding to deploy non-invasive Uncrewed Surface Vessels (USVs) for water quality monitoring in three key South West regional ports; Dartmouth, Falmouth and Plymouth.
Researchers from Shanghai Jiao Tong University have developed a revolutionary hybrid-driven origami gripper that addresses the difficulty of grasping and manipulating things with exceptional diversity and precision.
A recent study in Robotics introduced an intelligent hybrid task planner for multi-robot disassembly of electric vehicle (EV) lithium-ion batteries. This system, tested with various trajectory-planning algorithms, demonstrated efficient and adaptable collaboration between robots, streamlining the battery recycling process and highlighting its potential for broader disassembly tasks in the circular economy.
XPENG Motors, a leading Chinese smart electric vehicle company, today showcased its cutting-edge advancements in AI technology and announced the full rollout of the XOS 5.1.0, Tianji, in-car OS to all eligible XPENG models during the XPENG AI DAY event themed "Pioneering a new era of smart AI driving."
SetCalc is excited to announce the public launch of an Artificial Intelligence Semi-Truck Accident Settlement Calculator.
Red Cat Holdings, Inc., a drone technology company integrating robotic hardware and software for military, government, and commercial operations, today announced the formation of the Red Cat Futures Initiative (RFI).
Researchers investigated factors contributing to automation disengagements in Tesla's Autopilot and Full Self-Driving (FSD) Beta systems. Through interviews with users, they identified categories such as human perception, operator states, and automation limitations, proposing a conceptual framework to predict and explain disengagement occurrences, crucial for system enhancement and user acceptance.
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