Robots and autonomous systems bring AI into physical environments, where reliability and operating conditions matter. Follow research, product announcements and pilots in industry and beyond. These briefings distinguish a demonstration from a wider deployment and explain what the available evidence says about a system’s capabilities and limits.
Kodiak's internal readiness measure has risen from 96% in September to 99%. The milestone updates its commercial rollout story, but it is neither a crash-probability estimate nor evidence that driverless interstate service has launched.
Pony.ai, inDrive and NVIDIA have signed a memorandum to evaluate an Astana robotaxi service using Pony.ai’s Gen-7 vehicles and NVIDIA’s Hyperion platform.
Mercedes-Benz and NVIDIA announced an expanded collaboration on next-generation driver-assistance and automated-driving systems, combining MB.OS with NVIDIA’s Hyperion, Alpamayo and Halos technologies.
SLAC is leading SPIRE, a multi-institution effort to connect autonomous instruments, AI controls and robotic systems into a self-driving laboratory for materials and physical-science experiments.
HTX’s new facility will train embodied-AI systems for scenarios such as hazardous-material handling and post-blast work; the agency says field use could begin by 2028.
The International Federation of Robotics says the global industrial-robot stock reached five million units in 2025 as annual installations rose to 603,000.
Boston Dynamics opened an Atlas training center inside Hyundai's Georgia plant, while its larger deployment and production figures remain future plans without published operating results.
JTC and Kajima began a Singapore pilot of autonomous excavators and compactors, targeting fewer operators and safer worksites while deployment and productivity gains remain unproven.
ZINOVA launched Tool Intelligence, a physical-AI execution layer demonstrated with robots using construction tools; production-scale generalization remains unproven.
Hyundai Motor Group says NVIDIA-based Level 2+ and Level 2++ systems are planned for 2028, while vehicles using its proprietary Atria software are now targeted for late 2029.
Skild AI has detailed S1, a robotic foundation model that uses a video demonstration as an in-context prompt and attempts a new task without task-specific fine-tuning.