According to OpenMind (@openmind_agi) on X, the company’s OM1-powered robots were featured in the official NVIDIA GTC highlight reel, signaling growing visibility for OM1 in robotics workflows. As reported by NVIDIA’s GTC recap video post (@nvidia), GTC 2026 emphasized hands-on robotics demos and ecosystem partnerships, underscoring demand for accelerated robotics stacks that pair simulation, perception, and control on GPUs. According to NVIDIA’s GTC sizzle reel, the showcase positions vendors like OpenMind to integrate with NVIDIA’s robotics toolchain, enabling faster deployment cycles, real-time inference, and scalable fleet learning. For enterprises, this exposure suggests near-term opportunities to pilot OM1-based automation in logistics, manufacturing, and inspection where GPU-accelerated perception and policy learning can reduce integration time and improve ROI.

According to OpenMind on X (@openmind_agi), the company concluded NVIDIA GTC with a live stage demo of its OM1 autonomous robots operating in unfamiliar, dynamic, and crowded spaces, highlighting real-time navigation and social interaction capabilities powered by specialized AI models. As reported by NVIDIA GTC stage programming, the showcase emphasized embodied AI stacks that fuse perception, localization, and motion planning to enable safe, fluid movement in public settings, pointing to deployment opportunities in retail assistance, hospitality, and event operations. According to OpenMind, attendees observed on-robot inference driving both movement and social behaviors, underscoring business value in human-robot interaction for wayfinding, concierge services, and crowd-aware logistics.

According to OpenMind on X (@openmind_agi), thousands of attendees interacted with a live robot fleet powered by OM1 and NVIDIA Thor on Day 1 of NVIDIA GTC 2026, showcasing end to end AI robotics stacks in action; as reported by OpenMind, the demo highlighted on-robot inference and control software that "brings robots to life," with more NVIDIA Robotics features teased for Day 2. According to NVIDIA Robotics’ public messaging referenced by OpenMind, Thor-class compute targets safety‑critical autonomy and high throughput multimodal perception, positioning it for factory robotics, mobile manipulators, and service robots. For integrators and OEMs, the takeaway—per OpenMind’s recap—is that production-ready perception, planning, and actuation pipelines are maturing, reducing time to pilot and deployment for warehouse picking, AMRs, and retail automation.

According to OpenMind on Twitter, the company is presenting fully autonomous OM1-powered robots at the main entrance of NVIDIA GTC, greeting attendees in a live deployment. According to OpenMind, this public demo highlights real-time navigation, perception, and interaction capabilities, signaling readiness for commercial pilots in venues with high foot traffic. As reported by OpenMind, showcasing at GTC positions OM1 within NVIDIA’s accelerated computing ecosystem, suggesting synergies with Jetson and Isaac tooling for scaling fleet management and simulation. According to OpenMind, the event exposure creates near-term opportunities for hospitality, retail, and convention operations to evaluate ROI from autonomous concierge, wayfinding, and security-assist use cases.

According to OpenMind on X, the company demonstrated its OM1 platform and BrainPack architecture for quadruped robots at the “AI & Autonomy: From Research to Robots” event hosted by Women In Robotics Bay Area and InOrbit. As reported by OpenMind, the demo highlighted architectural integrations that enable on-robot autonomy, suggesting streamlined deployment paths for fleet operations via InOrbit’s orchestration stack. According to InOrbit’s event framing, enterprise robotics teams are prioritizing scalable autonomy and remote ops, indicating near-term opportunities for integrating perception, navigation, and policy models directly on quadrupeds with cloud supervision. For robotics vendors and service providers, the business impact includes faster pilot-to-production timelines, reduced integration overhead, and clearer MLOps-to-RobOps handoffs between BrainPack edge compute and cloud coordination, according to OpenMind’s post and InOrbit’s role as event host.

According to OpenMind (@openmind_agi) on X, the company’s universal AI software with the OM1 Follow Me algorithm now runs out of the box on the Booster Robotics K1 robot dog with no additional hardware, demonstrating true form factor abstraction for faster developer integration. As reported by OpenMind, a prior demo at SPIE Photonics West showed the robot dog Bits using OM1 with an Intel RealSense D435i to reliably track and follow users, indicating immediate applications in homecare assistance, patrol security, and facilities logistics. According to OpenMind, the hardware-agnostic design reduces deployment friction across platforms, enabling robotics OEMs and integrators to accelerate pilots, cut bill-of-materials, and standardize perception and tracking stacks across fleets. As stated by OpenMind, the approach positions OM1 as a drop-in follow capability for service robots, with potential ecosystem opportunities around SDK licensing, remote monitoring, and domain-specific behaviors.

According to OpenMind on X (@openmind_agi), the OM1 platform is now compatible with Booster Robotics’ K1 humanoid, enabling their Greeter software to track a person’s movement and trigger gesture commands like waving when within a preset distance. As reported by OpenMind, the integration showcases real-time person tracking and proximity-based action control on a lightweight KidSize companion robot, highlighting practical human-robot interaction scenarios for retail greeting, event check-in, and hospitality use cases. According to the original video post by OpenMind, the demo emphasizes movement tracking reliability and rule-based motion prompts, indicating near-term business applications for customer engagement and reception workflows.

According to @openmind_agi on X, OpenMind’s OM1 now runs on LimX Dynamics’ Tron 1, enabling fully autonomous mobility and social interaction on the platform. As reported by OpenMind’s announcement, the company provides a universal robotics AI infrastructure so developers can build applications without learning hardware-specific intricacies, signaling a path toward scalable, cross-form-factor robot apps and reduced integration overhead. According to the same source, this deployment highlights a model-agnostic control and perception stack that could accelerate time to market for social and service robots by abstracting locomotion, navigation, and interaction layers.