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Choosing a Hesai Lidar: JT, XT, QT, OT, ATX, FTX and MT Compared

Which Hesai lidar fits a robot, a mapping rig or an autonomous vehicle.
September 30, 2026 by

Leo Drive · September 2026

Hesai's lidar range runs from a 200 g sensor for warehouse robots to a 2.2 kg automotive unit that sees 200 m. Which one fits depends on where the objects you need to see are, what shape of field of view covers them, how much weight and power the platform can carry, and whether the sensor has to be automotive grade.

Hesai lidars side by side: JT16, JT128, XT32M2X, QT128, OT128, ATX, FTX and MT
Eight of the twelve models, shown at roughly their true relative size.

Robots, AGVs and AMRs

Indoor and yard robots mostly need to see what is close: pallets, people, doorways and the floor. The JT16 and JT32 weigh about 200 g and cover 360° from a small cylinder. When the robot also has to see above itself, for shelving, ceilings or overhanging loads, the JT64 and JT128 spread their channels over 95° vertically, from just below the horizon to straight up.

Point cloud from a Hesai JT-series lidar in a busy hall, with the camera view for comparison
A JT-series point cloud of a busy hall, with the camera view for comparison. Animation: Hesai.
ModelChannelsField of viewRange at 10%WeightPower
JT1616360° x 40°30 m200 g4.3 W
JT3232360° x 42.6°40 m200 g7.5 W
JT6464360° x 95°20 m< 265 g7.6 W
JT128128360° x 95°40 m< 265 g8.4 W

Mapping and survey

The XT series is built for accuracy: ±1 cm typical ranging accuracy and a full 360° ring. The XT32M2X widens the vertical field of view to 40.3° and weighs 490 g, which suits backpack and UAV mapping. For millimetre-level scanning, the MT has 3.5 mm range precision in a 300 g housing.

Point cloud of a sculpture scanned with the Hesai MT lidar
A 60 cm sculpture scanned with the MT. Animation: Hesai.
ModelChannelsField of viewRange at 10%WeightPower
XT1616360° x 30°80 m0.8 kg9 W
XT3232360° x 31°80 m0.8 kg10 W
XT32M2X32360° x 40.3°80 m0.49 kg10 W
MT–*320° x 30° or 60°64 m*300 g–

* Hesai does not publish a channel count for the MT, and lists its ranging capability without a reflectivity.

Autonomous vehicles

The OT128 is the 360° long-range sensor, with 0.1° horizontal resolution. The ATX looks forward over 120° from an automotive-grade housing only 30 mm high. For the blind zone close to the vehicle, the QT128 covers 360° x 105.2°, and the fully solid-state FTX covers 180° x 140° from a corner or a side.

Hesai FTX point cloud of pedestrians and a car close to the vehicle
FTX point cloud of a street scene close to the vehicle. Animation: Hesai.
ModelChannelsField of viewRange at 10%WeightPower
OT128128360° x 40°200 m2.2 kg29 W
ATX116120° x 18.3°200 m355 g10 W
QT128128360° x 105.2°20 m0.7 kg12 W
FTXsolid-state180° x 140°20 m≈ 180 g< 6 W

The QT128 reaches up to 50 m on more reflective targets. The FTX also comes in a 140° x 105° version with 30 m range.

Check the coverage before you buy

Field-of-view figures do not show whether the sensors you pick cover the space you care about once they are on the vehicle. fovlab, our free FOV Coverage Simulator, draws the covered volume for a sensor layout in top, front, side and isometric views.

Get a recommendation

All of these are in our LiDAR Sensors range, with the full spec table on each product page. Send us the platform, its speed and what it has to detect, and we will suggest a sensor set: contact our engineering team.

Where your sensors do not look