Event Recap | Slamtec & CIOE 2025 Successfully Concluded

Spotlight on Perception and Motion

• Aurora Integrated Perception Sensor

  

  • Combines LiDAR, IMU, and vision for multimodal sensing
  • Enables geometric mapping plus semantic understanding, allowing robots not only to “see” but also to “understand”
  • Applicable to humanoid robots, lawn mowers, AMRs, and inspection robots
  • Provides a complete solution from spatial perception to data output

• 48V Hermes Embodied Intelligence Robot Chassis: High-power drive, supporting multi-DOF upper structures for humanoid robots and mobile platforms.
• LPX E3 Industrial Area Monitoring LiDAR: Millimeter-level detection accuracy to ensure industrial safety and area protection.
• RPLIDAR U1 Underwater LiDAR: Breaks through underwater detection challenges, enabling robots to perceive aquatic environments.
• RPLIDAR S3 DTOF LiDAR: High speed, high frequency, and strong anti-interference performance for stable mapping in complex environments.

CEO Insights: The Future of Multimodal Perception

• Industry Trend: Robotics is evolving from geometric perception to semantic understanding, moving beyond “walking and seeing” to “understanding and interacting.”
• Technical Challenges: Real-time data synchronization, stability, and generalization remain major hurdles. Single-modality sensors are insufficient for complex environments, requiring multimodal sensor collaboration. Algorithms must also balance precision with efficiency on edge-computing platforms.
• Aurora’s Approach: By integrating LiDAR, IMU, and vision, Aurora achieves millisecond-level synchronization, outputting comprehensive geometric and semantic data. Its bionic design, inspired by human perception, enables environmental sensing, dynamic obstacle detection, and scene segmentation in one solution.

• In humanoid robots, it enables precise gait navigation and interaction safety.
• In logistics and inspection, it enhances dynamic obstacle prediction, reducing false stops and misdetections.
• In emerging fields such as autonomous driving and security monitoring, it serves as a spatial perception “neural hub,” improving decision-making accuracy.

“Multimodal perception is not just stacking sensors—it’s the key step for robots to gain true cognitive ability. With Aurora, we aim to provide a stable and scalable foundation for spatial perception, accelerating the development and deployment of embodied intelligence.” — Chen Shikai

Looking Ahead

• Continuously optimizing multimodal perception algorithms to enhance spatial understanding
• Driving deeper integration of perception, decision-making, and motion, enabling robots to truly become human assistants
• Building an open embodied intelligence ecosystem with partners across the industry to achieve large-scale deployment