At Automate 2026 in Chicago, developments in humanoid robot sensing took centre stage as multiple companies demonstrated how advances in tactile perception, force measurement, and multi-modal data acquisition were reshaping robotic dexterity. The Humanoid Robot Pavilion provided a focused showcase of technologies aimed at closing the gap between human and machine interaction in manipulation tasks.
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ABB Robotics is collaborating with California bionics company, PSYONIC, to advance robotic gripping and dexterity using a new approach that utilizes real-world manipulation data from human prosthetic use. By combining the PSYONIC Ability Hand with an ABB GoFa cobot, the collaboration will explore how touch and motion data generated by human prosthetic use can be used to train robots to perform delicate, variable tasks that have traditionally been difficult to automate.
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China has launched its 15th Five-Year Plan by placing robotics at the heart of its modern industrial system. The aim is to pivot its AI research towards physical applications with robots as main drivers for economic growth.
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4D1 has launched itsmillimeter-level 3D positioning and 6DoF (Six Degrees of Freedom) orientation system at the Automate Expo in Chicago.
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Inbolt, the robot intelligence company that turns digital twins into live robot control, is launching two new capabilities that complete the company’s AI vision model for robot guidance: Inbolt Robot Programming and an expanded Inbolt Robot Control.
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Robotiq has introduced IQ, an AI-enabled platform designed to make robotic Workcell integration faster, more predictable, and easier to scale.
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Within the AURA K4D environment, the renowned 4D InSpec becomes a robotically guided precision instrument. Using dynamic interferometry, it captures all phase data in a single snapshot in milliseconds, delivering instantaneous, non-contact 3D surface measurement with micrometre-level resolution.
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KITOV.ai, a leading provider of AI-Powered Quality Discovery solutions, has announced the integration of CMM-Manager metrology software as the GD&T (Geometric Dimensioning and Tolerancing) engine for its Core+ robotic inspection platform.
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In semiconductor and advanced manufacturing environments where Autonomous Mobile Robots (AMRs) are integrated with robotic arms, accurate positioning is essential for reliable material handling. These systems commonly use TM Landmarks mounted on each slot of a multi-layer material rack (E-Rack) as positional reference points for robotic arm guidance.
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Despite significant progress, reliability remains one of the hardest problems in robotics – not because of a lack of engineering skill, but because robots operate under conditions that challenge traditional durability models.
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