Interventional radiology surgical navigation system

minimally invasive surgeryopticalaugmented reality

Product description
This embodied intelligent navigation robot platform integrates hardware and software into a single development and testing environment. Core components include optical cameras and a robotic arm, while the software stack provides camera processing, robotic-arm control and navigation planning, with optional image processing and augmented reality visualization modules for customization.

System features

• Multi‑modal collaborative perception: integrates multi‑source positioning and augmented‑reality technologies to build a virtual‑physical fused perception system, enabling multi‑dimensional environment understanding and real‑time decision making in complex conditions.
• High‑feedback intelligent decision interaction: a bidirectional data loop between simulation training and real‑scene validation supplies real‑time feedback to continuously optimize algorithms, accelerating capability development from basic localization to complex manipulation.
• Modular intelligent extension architecture: open hardware interfaces compatible with multiple brands, supporting rapid integration of in‑house algorithms and flexible experimental setups for cross‑modal interaction and compliant manipulation research.
• Digitized expert experience transfer: an experience library based on high‑precision optical tracking enables experience transfer via deep reinforcement learning and provides quantitative evaluation for long‑term training on challenging tasks.

Application scenarios

• Multi‑source information fusion and control: optical/magnetic tracking, light‑field stereoscopic reconstruction, manipulator force/torque feedback.
• Embodied‑intelligence algorithm development: visuo‑haptic control platform, embodied interaction simulation environments, intelligent decision prediction and reasoning.
• Training and exercises: basic skills and principles training, virtual robot operation drills, mixed‑reality interactive training.
• Prototype rapid translation: fast iteration of new functions, progressive development validation, and migration of modular architectures.

Technical specifications

• Core hardware: optical cameras, robotic arm (expandable and compatible with multiple‑brand hardware interfaces).
• Software modules: camera processing, robotic‑arm control, navigation planning, image processing and augmented‑reality visualization.
• Perception capabilities: multi‑source positioning fusion (optical/magnetic/light‑field reconstruction), virtual‑physical fused perception, real‑time multi‑dimensional environment understanding.
• Interaction and decision‑making: real‑time feedback closed‑loop and a simulation↔real bidirectional data cycle for continuous algorithm optimization.
• Extensibility: modular intelligent extension architecture supporting rapid integration of custom algorithms and peripheral compatibility.
• Training and transfer: experience library built on high‑precision optical tracking supporting deep reinforcement learning‑based transfer and quantitative evaluation.
• Typical uses: algorithm R&D, training and exercises, prototype verification and functional iteration in industrial and medical contexts.