Lattice for Mission Autonomy
An advanced software platform enabling a single human to control and coordinate a wide range of autonomous assets across the ocean, land, and sky to deliver successful mission outcomes. Lattice for Mission Autonomy makes it possible to compose different platforms and payloads, made by different vendors, into different mission solutions for different mission requirements. Mission Autonomy integrates and orchestrates the platforms, piloting, sensors, and payloads to deliver autonomous teams capable of accomplishing complex missions. Lattice for Mission Autonomy defense and commercial applications extend across air, land, and sea by leveraging platforms such as collaborative combat aircraft, robotic combat vehicles, and autonomous underwater vehicles to conduct missions like ISR, defensive counter air, seafloor mapping, critical infrastructure surveillance, and more.
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Gemini Robotics
Gemini Robotics brings Gemini’s capacity for multimodal reasoning and world understanding into the physical world, allowing robots of any shape and size to perform a wide range of real-world tasks. Built on Gemini 2.0, it augments advanced vision-language-action models with the ability to reason about physical spaces, generalize to novel situations, including unseen objects, diverse instructions, and new environments, and understand and respond to everyday conversational commands while adapting to sudden changes in instructions or surroundings without further input. Its dexterity module enables complex tasks requiring fine motor skills and precise manipulation, such as folding origami, packing lunch boxes, or preparing salads, and it supports multiple embodiments, from bi-arm platforms like ALOHA 2 to humanoid robots such as Apptronik’s Apollo. It is optimized for local execution and has an SDK for seamless adaptation to new tasks and environments.
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Arena Autonomy OS
Arena empowers businesses across industries to make high-frequency, critical path decisions fully autonomous. Autopilot for high-frequency business decisions. Similar to a physical robot, Autonomy OS is composed of three components, the sensor, the brain, and the arm. The sensor measures, the brain makes decisions, and the arm takes action. The whole system operates automatically and in real time. Autonomy OS ingests and encodes heterogeneous data with different latency profiles, from streaming real-time and structured time series, to unstructured data like images and text, into features that train machine learning models. Autonomy OS also augments data with contextual data from Arena’s Demand Graph, a daily updating index of factors that affect consumer demand and supply, from product prices and availability by location, to demand proxies from social media platforms. Customer preferences and behaviors change, supply routes are unexpectedly disrupted, and competitors alter strategy.
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Gemini Robotics-ER 1.6
Gemini Robotics-ER 1.6 is a family of AI models developed by Google DeepMind to bring advanced multimodal intelligence into the physical world by enabling robots to perceive, reason, and act in real-world environments. Built on the Gemini 2.0 foundation, it extends traditional AI capabilities by adding physical action as an output modality, allowing robots to interpret visual input and natural language instructions and convert them directly into motor commands to complete tasks. It includes a vision-language-action model that processes images and instructions to execute tasks, as well as a complementary embodied reasoning model (Gemini Robotics-ER) that specializes in spatial understanding, planning, and decision-making within physical environments. These models enable robots to generalize across new situations, objects, and environments, allowing them to perform complex, multi-step tasks even if they were not explicitly trained for them.
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