AI Usage at a Glance
Dec 19, 2024
ProductivityPractice documented: Boston Dynamics deployed its Stretch robot, which uses computer vision and machine learning to autonomously identify and move boxes in warehouses, currently being used by logistics and retail customers including Gap Inc.
Practice DocumentedView practice →May 1, 2025
OtherPractice documented: Boston Dynamics offers an automated face-blurring feature in its Orbit platform that detects and obscures human faces in images captured by the Spot robot, available to enterprise customers as an opt-in setting.
Practice DocumentedView practice →May 1, 2025
Data AnalysisPractice documented: Boston Dynamics deployed an AI visual inspection system called Orbit AIVI (Artificial Intelligence Visual Inspection) that analyzes images captured by its Spot robot to automatically flag safety hazards, equipment issues, and site anomalies for industrial customers.
Practice DocumentedView practice →May 12, 2025
ProductivityNew evidence: Stretch Helps Gap Inc. Deliver for Its Customers
Evidence AddedView practice →May 20, 2025
Data AnalysisNew evidence: Orbit 5.0 adds features to Boston Dynamics' Spot quadruped robot
Evidence AddedView practice →May 20, 2025
OtherNew evidence: Orbit 5.0 adds features to Boston Dynamics' Spot quadruped robot
Evidence AddedView practice →Nov 13, 2025
Data AnalysisPractice documented: Boston Dynamics announced a partnership with IFS in November 2025 to integrate its Spot inspection robots with IFS.ai, an agentic AI system that converts robot-collected field data into automated maintenance decisions and work orders.
Practice DocumentedView practice →Nov 20, 2025
Data AnalysisNew evidence: IFS & Boston Dynamics: Merging Agentic AI with Robotics
Evidence AddedView practice →Jan 5, 2026
OtherPractice documented: Boston Dynamics uses reinforcement learning and supervised learning from human demonstrations to train its Atlas humanoid robot to perform autonomous industrial tasks such as part sequencing in automotive manufacturing.
Practice DocumentedView practice →Jan 20, 2026
Data AnalysisNew evidence: A New Perspective for Facilities Inspection
Evidence AddedView practice →Mar 17, 2026
OtherNew evidence: Atlas' Evolution From Research Robot to Industrial Humanoid
Evidence AddedView practice →Mar 20, 2026
ProductivityNew evidence: Stretch - Mobile Warehouse Robots
Evidence AddedView practice →Apr 15, 2026
Data AnalysisNew evidence: Boston Dynamics integrates Google DeepMind's Gemini Robotics model into Spot inspection platform
Evidence AddedView practice →Boston Dynamics announced a partnership with IFS in November 2025 to integrate its Spot inspection robots with IFS.ai, an agentic AI system that converts robot-collected field data into automated maintenance decisions and work orders.
The collaboration connects data gathered by Spot robots during autonomous inspections to IFS.ai, which analyzes the data, makes decisions such as scheduling preventive maintenance, detecting anomalies, and triggering field actions without requiring human intervention at each step. The system is designed for asset-intensive industries including manufacturing, energy, and utilities. Boston Dynamics and IFS demonstrated the joint solution at Industrial X Unleashed in New York in November 2025.
Boston Dynamics uses reinforcement learning and supervised learning from human demonstrations to train its Atlas humanoid robot to perform autonomous industrial tasks such as part sequencing in automotive manufacturing.
Boston Dynamics trains Atlas using three parallel approaches: teleoperation via virtual reality headsets to generate demonstration data, reinforcement learning in simulation where the robot practices millions of virtual repetitions, and motion capture of human movements to teach physical behaviors. The company confirmed in 2025 that its primary application was part sequencing in automotive manufacturing at Hyundai facilities. As of January 2026, the product version of Atlas was unveiled at CES, with the entire 2026 production run committed to Hyundai and Google DeepMind.
Boston Dynamics deployed its Stretch robot, which uses computer vision and machine learning to autonomously identify and move boxes in warehouses, currently being used by logistics and retail customers including Gap Inc.
Stretch uses multiple sensors and machine learning algorithms to detect boxes, surrounding obstacles, walls, and the floor in real time, then uses a vacuum gripper to pick and place cases onto conveyors without needing to be pre-programmed with SKU data or box specifications. The robot is mobile on an omnidirectional base and can navigate loading docks and tight warehouse spaces autonomously. Boston Dynamics has confirmed commercial deployments with logistics and retail customers as of 2022 onward.
Boston Dynamics announced a partnership with IFS in November 2025 to integrate its Spot inspection robots with IFS.ai, an agentic AI system that converts robot-collected field data into automated maintenance decisions and work orders.
Boston Dynamics deployed an AI visual inspection system called Orbit AIVI (Artificial Intelligence Visual Inspection) that analyzes images captured by its Spot robot to automatically flag safety hazards, equipment issues, and site anomalies for industrial customers.
Boston Dynamics uses reinforcement learning and supervised learning from human demonstrations to train its Atlas humanoid robot to perform autonomous industrial tasks such as part sequencing in automotive manufacturing.
Boston Dynamics offers an automated face-blurring feature in its Orbit platform that detects and obscures human faces in images captured by the Spot robot, available to enterprise customers as an opt-in setting.
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