Intrinsic CTO Brian Gerkey talks about open-sourcing Intrinsic Core, automation for high-mix machine shops, and where AI can help robots reach production.
PTC's Darren Henry shows Onshape's FeatureScript MCP Server turning a supplier PDF into a parametric CAD tool in 34 minutes, and what it means for robots.
COO Vishal Jain on Synapse Symphony's DARPA-rooted wearable brain-stimulation headset for chronic pain, its FDA plans, and a second use: motor-health checks.
Glacian Technologies pairs AI with a physics-based digital twin that rejects unsafe commands. CEO Jie Zhao on cutting data center cooling energy 15-30%.
At WAIC 2026, AI-native platforms quietly replaced interpreter hardware — what invisible AI infrastructure means for robotics and embodied AI.
2026 AI for Science landscape report: WAIC 2026 exhibitor breakdown, MIT Boltz-2 and CMU Coscientist case studies, US/China/EU policy comparison, Anthropic Claude Science, and US academic cautionary views.
A comprehensive industry analysis of Physical AI — covering Embodied AI, Field AI, Factory AI, VLM, World Model, VLA, and the VLA vs WAM architecture debate. Includes 20+ companies, 28 references, and the RobotToday Physical AI Landscape diagram. July 2026.
Robbyant open-sources LingBot-VLA 2.0, a vision-language-action model trained on 60,000 hours of data for cross-morphology, whole-body robot control.
New T2 scaling laws from Wisconsin-Madison and Stanford show that smaller, overtrained models outperform frontier LLMs on reasoning tasks when total compute cost is equal — with direct implications for robotics inference pipelines.
TARS AI closes a record $455M Pre-A round led by Hillhouse, Sequoia China and Meituan, setting China’s largest single embodied-AI funding round. Full briefing.
From Starcloud's $170M Series A to Google's Project Suncatcher and China's operational LEO constellations, AI space data centers are moving from concept to infrastructure. Here's what the robotics industry needs to know.
Spirit AI partners with JD.com to deploy embodied AI robots in retail, combining VLA models, real-world data loops, and scalable automation.
Caitlin Kalinowski resigns as robotics lead at OpenAI after the company’s AI cooperation agreement with the U.S. Department of Defense, highlighting tensions over military use of advanced AI systems.
How OpenClaw's AI agent orchestration exposes which humanoid robotics companies have genuine hardware innovation vs. expensive commodity robots with proprietary software.
How OpenClaw's digital AI agent pattern is revolutionizing physical robotics through natural language control, ROS 2 middleware, and edge AI hardware—making robots reprogrammable through software instead of mechanical retooling.
Columbia's Emo robot breakthrough reveals why facial biomimicry is robotics' second hardest challenge. Analysis of tech barriers and 2028-2030 timeline.
Media hailed it as a landmark alliance. But flip the view: it resembles a Trojan Horse. Siemens gains compute and world-model access; NVIDIA quietly secures control over industrial training data, model iteration, and world representation.
Why mobile machining still struggles with stiffness, accuracy, and autonomy—and how hybrid robots, AI perception, and digital twins will drive breakthroughs over the next five years.
MIT unveils a Speech-to-Reality system that turns voice commands into physical objects using generative AI and robotic assembly, enabling rapid on-demand fabrication.
Learn how ETH Zurich-backed Flexion is building next-generation AI “robot brains” that enable embodied intelligence and adaptive autonomy for humanoid robots.
Mimic Robotics combines dexterous robotic hands with foundation-model Physical AI to automate human-like manipulation tasks in industry with scalable learning.
Laser weeding robots in 2025 are reshaping agriculture, with Carbon Robotics leading globally while HG Tech pushes competitive innovation from China.
Leju’s Kuafu robot uses NVIDIA’s Jetson Thor to run embodied AI models on-device, enabling stable multimodal perception and performance across industrial scenarios.
Synapath AI secures multi-million-yuan angel funding to advance embodied robotics using large-scale video data and AI-driven training systems.
By enabling rapid annotation of areas of interest in medical images, the tool can help scientists study new treatments or map disease progression.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
