According to OpenMind on X, attendees at NVIDIA GTC shared first impressions after hands-on interactions with OpenMind robots, highlighting rapid improvements in model intelligence and responsiveness (source: OpenMind, video post on Mar 24, 2026). As reported by OpenMind, the robots demonstrated smoother real-time perception-to-action loops and better task generalization, suggesting gains in multimodal policy learning and sim-to-real transfer during live demos. According to the event context from NVIDIA GTC, such advances translate into practical opportunities for logistics picking, retail assistance, and light assembly, where lower latency and higher success rates can compress payback periods for pilot deployments. According to OpenMind, continued model upgrades imply a near-term path to expanded manipulation skills, reinforcing demand for edge AI accelerators and scalable training pipelines for embodied agents.

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, the company previewed its Greeter Robots initiating spontaneous conversations with strangers ahead of their NVIDIA GTC showcase, demonstrating on-device perception, multimodal dialogue, and social navigation in public spaces. As reported by OpenMind, the robots approach passersby, detect engagement cues, and sustain context-aware small talk, highlighting progress in embodied AI for customer service and hospitality. According to OpenMind, this field test points to near-term deployments in retail greetings, event registration, queue triage, and museum wayfinding where consistent, scalable human-robot interaction can reduce staffing bottlenecks and collect structured feedback. As noted by OpenMind, presenting at NVIDIA GTC underscores the use of GPU-accelerated vision, speech, and policy inference pipelines that enable low-latency interaction critical for safety and user trust.