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Deployment Reports with links to supporting source material.
131 selected reportsLast 30 days 87 recordsAll coverage 380 records
1X announced the launch of the NEO Factory, its first vertically integrated high-volume humanoid robot factory in Hayward, California. The factory is producing the NEO home robot, with a capacity of 10,000 units annually, and plans to scale to 100,000 units by 2027. The company emphasizes in-house manufacturing, quality control, and automation to deliver a safe and reliable humanoid robot to consumers.
Skild AI has acquired Zebra Technologies' robotics division to deploy its omni-bodied brain across warehouses, aiming to unlock massive productivity gains and enhance end-to-end fulfillment processes. This acquisition integrates Zebra's Symmetry Fulfillment platform with Skild's foundation model, enabling cross-embodiment generalization and intelligent decision-making in logistics environments.
Dexterity has deployed Instinct, a tactile intelligence system that enables robots to perform force-guided manipulation with zero retraining. Instinct reacts to contact forces in 0.5–2 ms, 10–100× faster than human touch, and adapts in real time to constrained placements. It integrates with Dexterity’s world model, Foresight, to update contextual understanding through contact data, achieving an 81% success rate in production with adaptive strategies.
PickNik Robotics announces the release of MoveIt™ Pro 9.0, a major update to their commercial robotics software platform. The release includes new planning and control algorithms, a redesigned user interface, and enhanced support for hardware like NVIDIA Jetson Orin. It also highlights partnerships with organizations like NASA and Haply Robotics, emphasizing the platform's versatility for space, manufacturing, and logistics applications.
This tutorial explores the challenges of deploying VLA models on embedded robotic systems, including dataset recording best practices, fine-tuning techniques for ACT and SmolVLA, and real-time performance optimization using the NXP i.MX 95 SoC. It emphasizes asynchronous inference and hardware-aware scheduling to improve control and reduce latency.
Dexterity, a leader in physical AI and robotics, has partnered with ASRock Rack to develop custom AI supercomputing systems for its Mech industrial superhumanoid robot. These edge AI servers provide real-time processing for warehouse automation tasks, enhancing autonomy and performance without cloud dependency.
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.
Dexterity's Mech industrial superhumanoid has been approved for onsite operational validation at Sagawa Express's X Frontier® relay center in Tokyo, Japan. This marks the start of Mech's use at Sagawa, with plans to scale the technology to additional relay centers. The deployment aims to address labor shortages and regulatory challenges in Japan's logistics industry.
PickNik announces the release of MoveIt Pro, a commercial robotics software platform built on the open-source MoveIt project. The update highlights new features such as support for FANUC and Kawasaki robots, integration with Meta Quest for AI data collection, Diffusion Policies for end-to-end AI training, and enhanced simulation capabilities with IMU and 3D Lidar support. The platform is designed for unstructured environments, providing tools for motion planning, grasping, perception, and behavior sequencing.
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.
NIST is launching the Agile Robotics for Industrial Automation Competition (ARIA) to improve robot agility in manufacturing. The competition, a joint effort with the IEEE Conference on Automation Science and Engineering, will focus on tasks such as failure recovery, automated planning, and plug-and-play robot integration. The goal is to reduce programming costs and increase adaptability for small and medium manufacturers.
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