Spatiotemporal intelligent perception algorithm for embodied robots

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Product Description

The embodied multimodal perception and decision-guidance algorithm is centred on multimodal fusion SLAM, integrating LiDAR, IMU and camera data. It features high-precision positioning, multimodal perception, high-dynamic attitude navigation, and global intelligent decision-making, enabling full-scene precise navigation and autonomous decision-making for humanoid robots.

Product Specifications

Robodriver’s multimodal navigation algorithm delivers exceptional performance and extensive adaptability: it supports online 3D mapping of up to one million square metres, with positioning accuracy of ±2cm indoors and ±4cm outdoors. Taking the Unitree G1 as an example, it achieves an ultra-narrow manoeuvrability of 80 cm and a dynamic response latency of less than 20 ms, whilst also featuring intelligent path planning and autonomous obstacle avoidance. It is compatible with a variety of LiDARs such as the Livox mid360 and Robosense E1R, supports computing platforms including X86, NX, and AGX, and works with Ubuntu 20/22/24 operating systems as well as ROS, ROS2, and DDS communication protocols. It covers a full range of scenarios, including indoor reflective environments, irregular buildings, ultra-large spaces, long corridors, as well as outdoor steps, complex terrains, harsh weather and dynamic environments. It is compatible with full-size humanoid robots such as Leju Kuafu, Unitree and Zhujidongli, quadruped robots such as Unitree A2/B1/B2, and wheeled, wheel-legged and tracked robots, enabling efficient adaptation across heterogeneous platforms.

Company Profile

Suzhou Xiaoju Intelligent Robotics Co., Ltd.

Xiaoqu Intelligence specialises in the research and development of multimodal embodied intelligence and general-purpose navigation solutions for humanoid robots, and is committed to advancing the full-scenario application of humanoid robots. The founding team hails from the Robotics Research Institute at Harbin Institute of Technology (HIT), where they have spent many years specialising in the field of robotics. They collaborate closely with the Bionic Robotics Research Group at HIT’s State Key Laboratory of Robotics Technology and Systems. Leveraging the advantages of industry-academia-research collaboration, the team has addressed core challenges in humanoid robotics—such as multi-joint serial and parallel structures, discontinuous walking gaits, and high-impact motion—by integrating the research group’s theoretical innovations with industry expertise. As a result, they have pioneered the development of a stable, lightweight, and universal multimodal embodied intelligence navigation algorithm in China. This algorithm is adaptable to various robot configurations, including bipedal, quadrupedal and wheeled models, and can operate in both indoor and outdoor structured and unstructured environments, providing robots with safe, rapid and precise navigation support. Building on this core algorithm, the company has launched a range of solutions, including software licensing, integrated control modules and wearable backpack modules, supporting flexible deployment and enabling robots to rapidly achieve autonomous navigation capabilities. It has been successfully integrated with leading humanoid robots from Leju, Effort, Tianlian, Star Motion Era, Zoyide, Zhongqing, Tiangong and Yushu, as well as quadrupedal robotic dogs from Yushu and Cloud Depths. To date, the company’s products have been deployed in bulk across scenarios such as exhibition hall guidance, building services and industrial logistics, with cumulative deliveries exceeding 300 units, making it the first embodied intelligence general-purpose navigation solution in China to achieve mass deployment. Furthermore, the team continues to explore new application scenarios, collaborating closely with the Harbin Institute of Technology’s Suzhou Research Institute to drive the implementation of projects such as petrol station robots and embodied intelligence training grounds; simultaneously, it actively participates in research initiatives, undertaking open-access projects at the Jiangsu Provincial Key Laboratory of Advanced Robotics Technology.
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