RoboSense Reports Robust Growth in Q2 2025 and Expands Robotics Market Reach
On August 21, RoboSense, a prominent player listed on the Hong Kong Stock Exchange, unveiled its financial performance for the second quarter and the first half of 2025. The company demonstrated significant revenue growth, with Q2 sales hitting RMB 460 million (approximately USD 64.44 million), marking a 24.4% increase year-over-year and a 38.9% rise compared to the previous quarter. Notably, the robotics division surged ahead, generating RMB 150 million (USD 21 million) from shipments totaling around 34,400 units-an extraordinary jump of 631.9% from the same period last year and 189.1% over Q1 2025.
Consistent Margin Improvement and Strong Robotics Profitability
RoboSense’s gross margin climbed to 27.7% in Q2 2025, a substantial improvement from 12.3% in Q1 2019, reflecting six straight quarters of margin expansion. The robotics segment outperformed with a gross margin of 41.5%, surpassing the industry average of 35-40%. This advantage is attributed to the company’s innovative digital product architecture and the highly customized nature of the robotics market, which remains in a developmental phase. As production scales, RoboSense anticipates margin stabilization driven by economies of scale.
Strategic Expansion into Industrial and Autonomous Delivery Sectors
RoboSense is actively broadening its robotics footprint beyond traditional applications, targeting industrial warehousing and autonomous delivery services. The company now supports over 3,200 clients worldwide, fueled by growing demand for its advanced digital LiDAR (Light Detection and Ranging) technologies. Exclusive supply contracts have been secured with leading global manufacturers of robotic lawnmowers, with order values reaching into the seven-figure range.
In the autonomous delivery arena, RoboSense has forged long-term collaborations with Coco Robotics and two major North American delivery platforms, alongside partnerships with Chinese firms such as Meituan Neolix and Rino.ai. These alliances position RoboSense at the forefront of next-generation delivery robotics.
Collaborations and Innovations in Embodied Intelligence
The company is engaged with over 20 robotics enterprises worldwide, including Unitree Robotics, Dobot, and X-Humanoid, focusing on embodied intelligence solutions. These cutting-edge products were showcased at prestigious events like the World Robot Conference and the World Artificial Intelligence Conference in 2025, highlighting RoboSense’s commitment to advancing robotic perception and interaction capabilities.
Outlook: Anticipating Peak Deliveries and Product Launches
CEO Qiu Chunchao emphasized that while the first half of 2025 showed promising results, the second half-especially Q4-is expected to witness large-scale robot deliveries. Production of robotic lawnmowers is projected to peak over the next six months in preparation for the 2026 season, with demand rising steadily from Q3 2025 through Q1 2026. Delivery volumes are forecasted to reach their highest between Q4 2025 and Q1 2026.
Technological Advancements: Introducing the Active Camera Series
On the innovation front, RoboSense recently launched the “Active Camera” (AC1), a pioneering product category in robotic perception. This device integrates LiDAR and IMU (Inertial Measurement Unit) data into comprehensive RGBD (Red, Green, Blue, Depth) information, enabling versatile perception capabilities across diverse robotic applications. Designed to accelerate development cycles, AC1 facilitates faster testing and deployment for robotics developers.
Since its inception in 2016, RoboSense has garnered feedback from over 400 academic institutions, robotics firms, and developers, including prestigious universities like Tsinghua and Stanford. Building on this, the company plans to release AC2 in the latter half of 2025, targeting enhanced precision in robotic sensing to meet evolving market demands.
Future Directions: Scaling AI and Robotics R&D
Looking ahead, RoboSense intends to intensify its research and development efforts in artificial intelligence, chip design, algorithm optimization, and digital architecture. These investments aim to accelerate the commercialization of embodied intelligence technologies at scale, with products like the Active Camera playing a central role in this strategy.
