At the recently concluded IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025), RealMan Robotics made a major breakthrough with the debut of its RealBOT Embodied Open Platform. The company successfully conducted a cross-regional teleoperation demonstration, linking Beijing and Hangzhou, 1,200 km apart, to showcase the real-time collaboration capabilities of embodied intelligent systems.
Through a dual-city setup connecting the Beijing Humanoid Robotics Data Training Center and the IROS exhibition booth in Hangzhou, a RealMan trainer in Beijing remotely controlled humanoid robots at the booth to perform complex interactive tasks such as handing over a towel and passing fruit.
Accelerating Embodied Intelligence Innovation
RealBOT is a comprehensive open platform designed to accelerate embodied AI innovation. It integrates advanced motion control, multi-dimensional perception, and precision manipulation, empowering researchers and developers to experiment, prototype, and advance embodied AI applications.
Built for high-quality data collection, RealBOT leverages over one million multimodal data samples collected across ten real-world application scenarios from RealMan's Data Training Center. This enables more robust model training and faster deployment across industries.
Key Technical Advantages
Full-Stack In-House Development: Proprietary actuator and control technologies ensure optimized performance and reliability.
Flexible Compute Support: Compatible with both NVIDIA Jetson Orin and Digua RDK S100 platforms.
Multisensor Fusion Perception: Integrates depth and wide-angle cameras, LiDAR, IMU, and microphone arrays.
Compact Design for Narrow Spaces: Excellent mobility and precision operation in confined environments.
High-Degree Dexterity: 21 active DOFs with support for dexterous hands and adaptive grippers.
Open Ecosystem: Compatible with various mainstream vision systems and gripper models.
With its ultra-lightweight architecture, RealBOT lays the groundwork for scalable humanoid systems and high-quality data generation, empowering embodied AI to move from lab research into homes, factories, and service industries worldwide.
Driving Global Collaboration in Embodied AI
The Beijing Humanoid Robotics Data Training Center, built by RealMan, now serves as the backbone for high-quality data generation and AI training. Featuring over 100 robots across 10 real-world environments, it enables the continuous collection of large-scale multimodal datasets that support RealBOT and global research partners, building an open, collaborative ecosystem for embodied intelligence.
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