IZAR PALLET HANDLER

NIDObots-powered  IZAR Industrial Autonomous Industrial Vehicle can deploy easily without reflectors by adopting NIDONAV with laser connectivity, with accurate pick up by having pallet identification sensor, and can be seamlessly connected to the system for dispatch.

And it always ensures 3D safety protection by various sensors such as 3D obstacle avoidance laser and safety bumper. This AMR forklift is preferred to transfer the robotics for goods moving, stacking, and palletizing in the factory and warehouses of the individuals.

  • Highly customized laser

  • Perfect obstacle avoidance

  • Reliable anti collision

  • Ultra – long standby time

  • Precise  localization

  • Heavy load

TECHNICAL DIAGRAM

TECHNICAL SPECIFICATIONS

  
SPECIFICATIONDESCRIPTION
Drive ModeDifferential / Wheel
Length/Width/Height1585mm*885mm*1836mm
Weight (with battery)210 kg
Load center distance600 mm
Wheel base842 mm
Minimum turning radious1035 mm
Fork size(width/thickness/length)186mm*60mm*1154mm
Lifting height of fork70mm
Maximum lowering height of fork104mm (Optional 84mm)
Width of fork (Outside)560mm (Optional 680mm)
Minimum ground clearance40mm (Optional 20mm)
Body colorBlue+Black
Wired networkRJ45 interface *1
WiFiInside Moxa AWK-1137C
Capacity48V 35Ah
Endurance≥ 8h
Charging time0-80% : 2h
Charging methodMannual / Automatic
Battery charge and distance cycle> 1000
The number of navigation laser1 (SicknanoScan3/Pepperl+FuchsR2000-HD)
The number of obstalce avoidance laser1 (Hinson CNS-LS051)
Maximum load500kg
Climbing capacity (Note 1)Slope < 5%
PassabilitySteps < 0.5cm, Gap < 1cm
Lacating accuracy (Note 2)10mm, + 1.0°
Navigation Speed≤ 0.9m/s
Map area (each)≤ 200000m2
Environment temprature0°C--50°C ( Himidity 10-90%,
and Humidity rangeNo compression condensation)
IP rating (note 7)IP20
Safety edge
Photoelectric protection of fork tip
Pallet feedback in place
Emergency stop button
Buzzer
Power on light
Speaker
Light strip
Basic features (Note 4)
Laser reflector navigation
Pallet recognition function (Note 5)
3D obstacle avoidance function (Note 6)

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