SHENZHEN, Feb. 21, 2025 – At CES 2025, Shenzhen-based RoboSense (速腾聚创) captivated global audiences with its breakthrough robotic hand technology, demonstrating unprecedented precision in handling delicate objects like eggs and screws. The 20-degree-of-freedom dexterous hand represents a significant leap toward practical applications of AI robots across industrial, domestic, and medical environments.
- Vision for AI Robot Commercialization
Dr. Qiu Chunxin, Founder, Chairman, and Chief Scientist of RoboSense, emphasizes that realizing the full potential of such innovations requires integrating three critical components: “Robotic eyes” for environmental perception, “embodied brains” for intelligent decision-making, and sophisticated manipulators for physical interaction. The company’s strategic positioning as a “robotics technology platform” leverages its decade-long leadership in LiDAR sensors to accelerate AI robot adoption worldwide.
“Our mission extends beyond perception,” states Dr. Qiu. “We’re creating comprehensive solutions where AI robots perceive, analyze, and execute complex tasks with human-like adaptability.” The company’s roadmap focuses on overcoming commercialization barriers through hardware accessibility and open-source AI models, specifically designed to advance AI robot capabilities.
- Foundational Growth in Perception Technology
Founded in 2014 during Dr. Qiu’s doctoral research at Harbin Institute of Technology (Shenzhen), RoboSense emerged from studies on environmental 3D feature extraction. “Traditional cameras couldn’t provide the spatial awareness needed for advanced AI robots,” recalls Dr. Qiu. The initial team of 12 researchers operated from university facilities, with founders forgoing salaries for three years to sustain development.
Key milestones include:
- 2016: Launch of first 16-line mechanical LiDAR
- 2017: Mass production with perception algorithm SDK
- 2021: World-first mass-produced automotive-grade MEMS LiDAR
Standard & Poor’s 2024 industry report projects RoboSense maintaining over 30% market share through 2034. According to China Automotive Technology and Research Center data, the company leads with 641 publicly disclosed patents as of December 2024.
- Strategic Pivot to AI Robot Ecosystem
Following its January 2024 Hong Kong IPO and inclusion in the Hang Seng Index, RoboSense refocused resources on its original vision: comprehensive AI robot systems. The January 2025 announcement of its AI robotics strategy positions LiDAR as one component within a broader technological framework.
Dr. Qiu explains the “hardware open, AI model open-source” approach: “We’re enabling developers to build AI robots faster through accessible components and shared intelligence.” This ecosystem strategy targets two core functionalities:
AI Robot System RoboSense Solution Upper Body Operations Hand-eye coordination platform with dexterous manipulators and vision algorithms Lower Body Mobility Robo FSD autonomous navigation system The open architecture allows developers to integrate partial or full-stack solutions, significantly reducing development cycles for specialized AI robot applications.
- Hand-Eye Coordination Breakthroughs
RoboSense’s integrated solution combines proprietary perception hardware, dexterous manipulators, computer vision models, and operational algorithms. This “hand-eye coordination” technology enables AI robots to perform intricate tasks such as:
- Precision grasping of irregular objects
- Tool manipulation (e.g., operating power drills)
- Fine-motor activities requiring tactile feedback
The system continuously evolves toward an “embodied intelligence” model where AI robots autonomously adapt to unstructured environments. By open-sourcing core AI models, RoboSense encourages collaborative advancement across the AI robot industry.
- Market Acceleration Strategy
With 2025 witnessing exponential growth in embodied AI, RoboSense’s timing aligns with surging industrial demand. The company addresses two primary market barriers:
- Component Accessibility: Standardized hardware modules for rapid AI robot prototyping
- Intelligence Democratization: Open-source models for adaptive learning across scenarios
“Developers shouldn’t reinvent foundational technologies,” emphasizes Dr. Qiu. “Our platform provides the ‘legs’ for mobility and ‘hands’ for interaction so innovators can focus on specialized AI robot applications.”
Industry analysts note RoboSense’s unique positioning between component suppliers and full-system AI robot developers. By bridging this gap, the company accelerates deployment timelines while establishing industry-wide technical standards. As global investment in AI robotics exceeds $48 billion in 2025, RoboSense’s ecosystem approach offers scalable pathways from laboratory prototypes to mass-market AI robot solutions.