RoboSense said its robotics-focused business delivered a breakout performance in 2025, with LiDAR shipments for robot applications reaching 303,000 units, underscoring rapid market expansion and the company’s growing position in robot perception technologies.
In a statement released on Jan. 13, RoboSense said shipments in the segment rose 1,141.8% year on year, allowing the company to retain its leading market position. The company attributed the growth to rising adoption of LiDAR across a broad range of robotic applications and increased deployment of its latest solid-state and safety-focused products.
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To support expanding use cases, RoboSense has introduced several flagship LiDAR models now in large-scale deployment, including the second-generation solid-state E1 Gen2, the Safety Airy 3D safety LiDAR and the ultra-compact Airy Lite. At the CES 2026 technology show, the company partnered with smart lawn-mowing robot brand NAVIMOW to unveil the Navimow i2 LiDAR, integrating RoboSense hardware to improve navigation accuracy and obstacle avoidance.
Beyond consumer robotics, RoboSense said its LiDAR systems are increasingly being adopted by developers of industrial and service robots. Companies such as AgiBot, Noetix Robotics, NEURA and KMAMMOTION have incorporated RoboSense sensors as core perception components, the company said.
See also: RoboSense LiDAR Now Compatible With NVIDIA DRIVE to Accelerate Autonomous Vehicle Development
RoboSense is also expanding beyond sensing hardware into integrated robotics intelligence. At CES 2026, it demonstrated an embodied intelligence robot dubbed a “delivery assistant,” which autonomously completed tasks such as unpacking, transporting goods, taking elevators and making deliveries without human intervention. The robot carried out more than 4,000 actions over roughly 20 hours of continuous operation, according to the company.
The performance was powered by RoboSense’s self-developed VTLA-3D end-to-end action foundation model and embodied intelligence system, which combines perception, decision-making and execution within a closed-loop architecture. Since formally adopting an “AI plus robotics” strategy in early 2025, the company said it has built a full-stack AI capability spanning chips, hardware and algorithms, supporting deployments in areas ranging from lawn-care robots to autonomous delivery and humanoid robotics.
