LayersLayer 14 of 15
Robotics and physical AI
Robotics and physical AI covers the software and hardware used to build AI that moves in the real world: robot models, simulators, drone and driving stacks, robot platforms with developer kits, and the data they learn from.
The categories
14 categories and 326 products in Robotics and physical AI.
CategoryWhat it coversProducts
Autonomous driving software stacksAutonomous driving software stacks covers open-source and licensable full-stack AV/ADAS software: perception, localization, planning and control.22
Embodied-agent benchmarksEmbodied-agent benchmarks covers standard tasks and leaderboards for evaluating robot policies and embodied agents.25
Humanoid & robot platforms with SDKsHumanoid & robot platforms with SDKs covers commercial robots (humanoid, quadruped, arms) that expose developer SDKs or APIs.29
LLM-to-robot interfaces & robot agentsLLM-to-robot interfaces & robot agents covers frameworks, MCP servers and APIs letting LLM agents command robots or reason over robot state.21
ROS ecosystemROS ecosystem covers ROS, the common software layer for robots, and the libraries around it.26
Robot cloud & fleet managementRobot cloud & fleet management covers platforms to monitor, operate, update and orchestrate fleets of deployed robots.20
Robot foundation modelsRobot foundation models covers general-purpose models that control robots across many tasks.22
Robot hardware dev kits & computeRobot hardware dev kits & compute covers edge compute modules and low-cost hardware kits for building and prototyping AI robots.21
Robot learning datasetsRobot learning datasets covers public and commercial datasets of robot trajectories, demonstrations and egocentric video for training policies.22
Robot perception, SLAM & motion planning librariesRobot perception, SLAM & motion planning libraries covers libraries for localization and mapping, navigation and manipulation motion planning used to build robot autonomy (ROS-bound or not).33
Robotics data logging & visualizationRobotics data logging & visualization covers SDKs, file formats and viewers/platforms that record, store, search and visualize multimodal robot data for debugging and dataset building.17
Teleop / robot data collectionTeleop / robot data collection covers tools for operating robots remotely and collecting the data robots learn from.19
Questions
Robotics and physical AI, answered.
What is the Robotics and physical AI layer of AI infrastructure?Robotics and physical AI covers the software and hardware used to build AI that moves in the real world: robot models, simulators, drone and driving stacks, robot platforms with developer kits, and the data they learn from.
What does the Robotics and physical AI layer include?It has 14 categories: Autonomous driving software stacks, Drone stacks, Embodied-agent benchmarks, Humanoid & robot platforms with SDKs, LLM-to-robot interfaces & robot agents, ROS ecosystem, Robot cloud & fleet management, Robot foundation models, Robot hardware dev kits & compute, Robot learning datasets, Robot perception, SLAM & motion planning libraries, Robotics data logging & visualization, Simulation and Teleop / robot data collection.
How many Robotics and physical AI products does Unfragile track?326 products across 14 categories, each category with its own page.
What works here
The three products on this layer.
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