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ROBO and THNQ indices spotlight AI and robotics hardware for humanoids
The guide points to Ouster for digital LiDAR, Ambarella for sensor level low-latency vision processing, and Novanta ATI for force and torque sensing to enable safe navigation and object handling.
ETF Trends outlines how a humanoid robot’s “brain” combines sensing and on-device computing to support real-time navigation and situational awareness, noting that the needed components are typically assembled from specialized suppliers rather than bought as a single finished unit.
The piece connects that hardware stack to public-company exposure via the ROBO Global Robotics and Automation Index (ROBO) and the ROBO Global Artificial Intelligence Index (THNQ), which it says track companies behind key component categories.
For depth and spatial understanding, the article highlights Ouster Inc., describing its digital LiDAR sensors that generate dense 3D point clouds to map room geometry in real time.
For faster interpretation, it cites Ambarella, which provides processing at the sensor level to reduce latency between camera inputs and robotic response, and it points to Novanta Inc. ATI Industrial Automation for multi-axis force and torque sensing used to help robots balance and manipulate objects gently.