DOCOMO and Keio use 5G slicing to cut robot latency, boosting force feedback accuracy and motion stability.
NTT DOCOMO and Keio University have demonstrated high-precision remote robot control over a commercial 5G standalone network, claiming it as the world’s first practical use of Configured Grant for teleoperation.
The test combined DOCOMO’s low-latency network slicing approach, called Configured Grant, with Keio’s Real Haptics technology, which transmits tactile and force feedback between a human operator and a remote robot. The demonstration was aimed at reducing wireless delay enough to make delicate remote manipulation stable and usable.Remote robot control depends heavily on low latency and minimal jitter. If delays fluctuate, force feedback falls out of sync. That leads to jerky movement, unstable grip, and reduced precision. For systems like Real Haptics, which synchronize position, force, and speed in real time between a leader and follower robot, network performance directly affects usability.In the experiment, Configured Grant was applied to the radio link between device and base station inside DOCOMO’s commercial 5G SA network.The companies reported that latency targets for practical teleoperation were met, and both force reproducibility and operability improved.Eliminating wireless scheduling delayConfigured Grant changes how 5G uplink resources are assigned. Under standard Dynamic Grant, a device must request transmission resources before sending data. That request-and-approval cycle introduces scheduling delay, which can vary depending on network congestion.With Configured Grant, the base station pre-allocates communication resources to specific devices for a fixed period. The robot can transmit data immediately without waiting for permission. By removing the scheduling step, latency and jitter in the wireless segment are reduced.The demonstration used DOCOMO’s commercial 5G SA network and connected the operator robot and remote robot through a virtual server running on DOCOMO MEC and the Bilateral Edge Platform.Control packets traveled through the uplink, across the edge server, and back down to the other robot, enabling real-time bidirectional force feedback. To simulate realistic use, engineers added 20 Mbps of background Traffic alongside control data.Measurable gains in controlThe teams tested a hand-type robot performing a standardized task, grasping a wooden block, varying the applied force, and transporting it within a set time.The task was repeated using standard 5G SA and then 5G SA with Configured Grant.According to the results, the force-feedback reproduction rate increased by 40 percent, or 24 points, when Configured Grant was enabled. Motion smoothness, measured using Dimensionless Jerk Cost, improved by 59 percent, indicating more stable and fluid robot control.The companies said this is the first demonstration of Configured Grant enabling practical robot teleoperation over commercial 5G as of February 25, 2026.They plan to continue refining the system to accelerate real-world deployment of advanced teleoperated robots.The system will be showcased at the NTT Group booth during MWC Barcelona 2026, organized by GSMA.
Configured Grant Edge Computing Haptic Feedback Low Latency Network Slicing Real Haptics Robot Teleoperation
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