2D LiDARYes
3D LiDARYes
AI ComputeUp to 275 TOPS on documented AIB-MX23 implementation
AI ModuleNVIDIA Jetson AGX Orin
AprilTags RequiredNo for primary navigation
Automatic Route PlanningYes
Autonomous MappingYes
Availabilitycommercially available
Battery CapacityNot Publicly Disclosed
Battery TypeNot Publicly Disclosed
Camera ModelFRAMOS D455e cameras in documented Aetina integration
Camera SystemMultiple cameras
Charge Time10 hours
Cloud ConnectivityYes
Compute PlatformAetina AIB-MX23 on documented deployment
Current Enhanced PerceptionAnantak also describes 360° perception in 2026 fleet materials
Dynamic Map UpdatingYes
Fixed Infrastructure RequiredNo
Fleet ManagementYes
Full NameVision Guided Vehicle
Historical Data LoggingYes
Human DetectionYes
Localization AccuracyCentimeter-level precision, according to Aetina case study
LocomotionWheeled autonomous mobile platform
Magnetic Tape RequiredNo
Manufacturer / Autonomy DeveloperAnantak Robotics
Map BackupYes
Maximum SpeedNot Publicly Disclosed
Minimum Operating SpaceAbout 5 ft
ModelVGV
NationalityAmerica
Navigation TypeVision-guided, map-based autonomous navigation
Object ClassificationYes
Obstacle AvoidanceYes
Obstacle DetectionYes
OTA Software UpdatesYes
Point-to-Point NavigationYes
Primary FunctionAutonomous cart/tug train transportation
Real-Time Camera FeedYes
Remote Control / TeleoperationYes
Robot DimensionsNot Publicly Disclosed
Robot TypeAutonomous industrial tugger / towing AMR
Robot WeightNot Publicly Disclosed
Runtime9 hours
Sensor Coverage270° on Anantak’s published VGV configuration
Towing Capacity12,000 lb (≈5,443 kg)
Traffic ManagementYes
Vehicle Platform PartnerDane Technologies
About the VGV
The Anantak Robotics VGV is a high-capacity autonomous tugger for warehouse and manufacturing material transport. It can tow up to 12,000 lb (≈5,443 kg), operates for around 9 hours, and uses cameras, 2D/3D LiDAR, AI-based mapping, dynamic route planning, and obstacle avoidance to work around people, forklifts, machinery, and other traffic without magnetic strips or fixed navigation infrastructure. The current deployed platform uses NVIDIA Jetson AGX Orin-based edge computing and supports fleet coordination, cloud monitoring, remote intervention, and autonomous multi-robot operation
Typical applications: Manufacturing & Industrial Operations, Industrial & AI Development.