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Cleaning Robots

SoftBank Robotics Whiz V

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About SoftBank Robotics Whiz V

Whiz V is a SoftBank Robotics robot for dry floor care in shops and offices.


Manufacturer

Key Specifications

Status
ACTIVE
Category
Cleaning Robots
Body / Weight
47 kg
Model / Model
SoftBank Robotics Whiz V
Cleaning / Modes
Vacuuming, sweeping, mopping
Motion / Minimum passage
60 cm
Applications / Facilities
Narrow retail aisles, offices and commercial buildings
Body / Dimensions L×W×H
54×44×59.5 cm
Runtime by mode / Mopping
≤480 min (Maximum for the stated mode; measurement conditions are not published.)
Power / Automatic charging
Available
Runtime by mode / Sweeping
≤600 min (Maximum for the stated mode; measurement conditions are not published.)
Runtime by mode / Vacuuming
≤300 min (Maximum for the stated mode; measurement conditions are not published.)
Cleaning / Wall-edge cleaning
Supported in vacuum mode

Verified ecosystem

Software and resources

Official links and community projects are shown separately. Every published relationship has reviewable evidence.

0
verified official resources
0
verified compatible projects
0
public maintainers
No activity yet
latest verified ecosystem activity

Projects are ordered only within this robot ecosystem using verified compatibility, GitHub freshness and activity, and accepted community reports. This is not a global RobotSpace score.

Official resources

No first-party resource has been independently verified yet. Unverified catalog links are not shown as official.

Official software

No official software project has been verified yet.

Community projects

No verified community project has been linked yet.

Developers and contributors

No public maintainer profile is linked yet.

Verified activity

No verified project activity is available.

This ecosystem is still empty

The robot page remains useful for specifications while official resources and compatible projects are being verified.

Imported from the Unibot owner catalog · Not independently verified · Imported 2026-11-11 · Unibot source · Methodology