The 2026 Robotics Summit & Expo will spotlight physical AI innovations, crucial for enhancing machine autonomy in real-world applications, impacting efficiency and productivity in the AECM industry.
FAULHABER introduces DualGear, an innovative drive system for autonomous logistics, enhancing efficiency in space-constrained environments.
Physical AI is reshaping manufacturing by enabling robots to adapt and learn in real-world environments, enhancing efficiency and flexibility in production processes.
Latency in collaborative assembly cells poses safety risks. Edge-first AI architectures reduce latency, enhancing safety and efficiency in human-robot collaboration.
GFT Technologies has launched AI-driven robotic arms that not only detect but also remove defective parts from auto production lines, addressing a key industry challenge and signaling a shift towards more automated manufacturing processes.
XELA Robotics enhances its uSkin sensors with magnetic interference compensation and CAN FD protocol, promising improved efficiency and precision for industrial robotics.
Advances in robotics are addressing the challenge of automating deformable material assembly, with implications for cost, efficiency, and sustainability in manufacturing.
Flex and Teradyne Robotics expand their partnership to advance physical AI in global manufacturing, aiming to streamline robotics deployment and operational efficiency.
Launchpad Build AI has introduced its Manufacturing Language Model, aiming to revolutionize industrial automation by simplifying robot adoption and enhancing manufacturing efficiency.
