Dexterity introduces Foresight, a world model that enables robots to reason about the physical world, predict outcomes, and act confidently in real environments. Trained on over 100 million autonomous actions in production, Foresight supports predictive branching, pragmatic decision-making, capability-aware orchestration, and predictive pipelining. It is designed to be interpretable, safe, and fast, with applications in logistics and industrial automation.
Editorial context：Dexterity introduces Foresight, a world model designed for real-world manipulation tasks, trained on over 100 million autonomous actions in production environments. It emphasizes interpretability, safety, and performance, addressing challenges in spatial reasoning and physical interaction.
Physical AI refers to AI systems that enable robots to perform physical tasks in the real world. The article explains the immense difficulty of this endeavor, highlighting the variability of the physical environment, the need for multiple AI capabilities to work together, and the importance of safety and reliability. Dexterity's compositional approach to AI architecture is presented as a solution that enables production-scale Physical AI across multiple industries.
Editorial context：The article outlines the significant challenges in developing Physical AI systems for real-world robotic tasks, comparing the complexity to autonomous driving. It emphasizes the need for compositional AI architectures that ensure safety, reliability, and scalability in industrial settings.
Dexterity and ASRock Rack have partnered to develop custom AI supercomputing systems for Dexterity’s Mech industrial superhumanoid robot, enabling real-time edge intelligence for warehouse automation tasks. These edge AI servers are optimized for computational demands, supporting complex reasoning and manipulation at the edge without cloud dependency.
Editorial context：Dexterity and ASRock Rack's collaboration introduces custom edge AI servers tailored for industrial superhumanoid robots, emphasizing real-time processing and reduced reliance on cloud connectivity.
This hands-on tutorial walks through the process of collecting data, training policies, and deploying autonomous medical robotics workflows on real hardware using NVIDIA Isaac for Healthcare. It introduces the SO-ARM starter workflow, which enables developers to build and validate surgical assistant robots from simulation to deployment.
Editorial context：This tutorial provides a comprehensive guide to building a healthcare robot using NVIDIA Isaac for Healthcare, covering data collection, simulation, training, and deployment on real hardware. It emphasizes the use of simulation to generate synthetic data and the integration of real-world data for training policies that generalize across domains.
Dexterity's Mech industrial superhumanoid has been approved for operational validation at Sagawa Express' X Frontier® relay center in Tokyo, Japan. This marks the start of onsite use beginning May 2025, following successful testing. Mech's deployment aims to address Japan's logistics crisis by automating truck loading tasks with Physical AI, which meets and exceeds performance benchmarks in speed, quality, and space utilization.
Editorial context：This marks the first commercial deployment of Dexterity's Mech industrial superhumanoid robot, approved for operational use at Sagawa Express' relay center in Tokyo. The deployment addresses Japan's logistics crisis by automating truck loading tasks with Physical AI, which meets and exceeds performance benchmarks in speed, quality, and space utilization.
Open Robotics announces the release of ROS 2 Kilted Kaiju, a new version of the Robot Operating System with support for Zenoh middleware, Python improvements, and enhanced ROSBag features. The release is supported on Ubuntu 24.04 and Windows, with plans for future improvements in the upcoming Lyrical Luth release.
Editorial context：The release highlights key features like Zenoh middleware support, Python improvements, and enhanced ROSBag functionality, emphasizing community involvement and cross-platform compatibility.