Taiwan Automation Intelligence and Robot Show (TAIROS) 2026
Reka AI’s collaboration with Uniforce represents the next evolution of Physical AI for mission-critical security. By bringing Reka’s multimodal VLM/VLA intelligence onto NVIDIA Jetson Thor and integrating it with autonomous robotic dogs, we are moving AI from simply watching the physical world to seeing, understanding, reasoning and acting within it, in real time, at the edge.
More importantly, the solution is designed for on-premise, sovereign and fully air-gapped deployment, keeping sensitive video, sensor data and AI inference inside the organisation’s trusted environment without dependency on the public cloud.
For defence, critical infrastructure, public safety and high-security facilities, this changes the paradigm: the robotic dog becomes more than a mobile sensor. It has becomes an intelligent autonomous security agent.
This is where Edge AI, Sovereign AI, Multimodal Agentic AI and Robotics converge into Physical AI, turning perception into intelligence, and intelligence into action, securely at the edge.
Taiwan Automation Intelligence and Robot Show (TAIROS) 2026, held today through Saturday, 19–22 August 2026 at Taipei Nangang Exhibition Centre 南港展覽館1館, 台北市南港區經貿二路1號, 南港展覽館2館, 台北市南港區經貿二路2號. Do drop by and visit us at Uniforce’s booth.
Attending TAIROS 2026 offered me a firsthand look into how AI and robotics are converging to redefine security and automation. Particularly impressive was the showcase of Reka AI’s integration with Uniforce’s robotic dogs, featuring advanced multimodal intelligence models like VLM and VLA running on NVIDIA Jetson Thor. This setup enables the robots to not only perceive but also reason and act autonomously in real-time environments. What stood out is the emphasis on sovereign AI deployment, meaning all processing, including sensitive video and sensor data, happens locally without relying on cloud connectivity. This is critical for industries handling confidential operations, such as defense and public safety, ensuring both security and privacy. The ability of these intelligent agents to perform continuous patrols, detect anomalies, and respond with autonomous decision-making transforms robotic dogs from mere sensors into proactive security agents. Through features like dynamic task planning, obstacle avoidance, and multimodal sensory integration—all coordinated via robust control algorithms—the robots achieve a seamless blend of perception, reasoning, and action. From my exploration, such advanced Physical AI solutions are not just futuristic concepts but are actively shaping the future of automation at the edge. For organizations looking to enhance infrastructure security or automate operations in challenging environments, adopting edge-deployed, intelligent robotic systems like these presents a compelling advantage. Attending TAIROS and seeing this technology live truly highlighted the exciting pace and practical impact of AI-driven robotics today.
