What to replace the Velodyne VLP-16 (Puck) with in 2026?

Introduction: The VLP-16 is gone, what to choose?

The Velodyne VLP-16 (Puck) — the most widely used 3D LiDAR in robotics history — is officially end of life. Since Ouster's acquisition of Velodyne, production has ceased and stocks are running out. The question is urgent for integrators, labs and makers who built their projects around the Puck: what to replace it with?

The VLP-16 offered a unique balance: 16 channels, 100m range, 360°×30° FoV, IP67, 830g, ~300,000 pts/s, all for around €4,000.

Today, several alternatives exist at different price and performance levels. This guide compares them, starting with the most direct and cheapest replacement.

1. The Natural Replacement: Hesai XT16 — Same Form Factor, Cheaper

The Hesai XT16 is the most faithful VLP-16 replacement on paper: 16 mechanical rotating channels, 360°×30° FoV, 80m range (up to 120m max), ±1 to ±3 cm accuracy, 320,000 pts/s (690,000 in dual-return), 800g, IP67, Ethernet connection.

But the XT16's real advantage is its price: around $2,400 — nearly half the cost of a new VLP-16 (€4,000). For integrators needing multiple sensors or renewing a fleet, the difference is substantial.

Another advantage: the XT16 has zero minimum detection distance (vs ~0.5m for the VLP-16), eliminating the proximal blind zone.

The XT16 is made by Hesai, the world's largest LiDAR manufacturer with 4 million units/year capacity. ROS drivers available via the Hesai SDK.

Verdict: if you're looking for the closest VLP-16 replacement in terms of specs AND price, the XT16 is the obvious choice.

2. Hesai XT32: Twice the Channels

The XT32 is the XT16's big brother: 32 mechanical rotating channels, 360°×31° FoV, 120m range (max), ±0.5 cm accuracy, 640,000 pts/s, 800g, IP67. Same format, same weight, but twice the channels and 50% more range.

The XT32 is also available in a M1X variant with configurable horizontal resolution (0.09° to 0.36°). Price: around $3,700-5,000 depending on the distribution channel.

The XT32 is an excellent compromise between the VLP-16 and high-end sensors: no major price jump, but significantly improved performance.

3. Ouster OS0/OS1 — Velodyne Continuity

Ouster having acquired Velodyne, the OS0 and OS1 ranges are the direct heirs of the VLP-16. The OS0 (35-50m) offers a 90° vertical FoV — perfect for indoor robotics. The OS1 (90-200m) covers range needs.

The OS0 and OS1 go up to 128 channels, with prices starting at ~€3,600 (OS0 32ch) up to ~€4,500 (OS1 Rev8 64ch). The ROS ecosystem is mature (ouster_ros) and the transition from VLP-16 is eased by Ouster/Velodyne continuity.

This is the right choice if you want to stay in the Ouster/Velodyne ecosystem with well-established ROS drivers.

4. Hesai OT128 — The Next Level

If your needs exceed what 16 or 32 channels can offer, the Hesai OT128 is the most advanced rotating 360° sensor on the market in 2026: 128 channels, 200m range, 360°×40° FoV, 6.91 million pts/s (dual-return), ASIL-B certified. A sensor designed for L4 autonomous vehicles, but perfectly suited for high-end robotics.

The OT128 represents a qualitative leap from the VLP-16 — 8× more channels, 2× more range, 20× more points per second. But also a higher budget, starting at ~€8,000-10,000.

This is the sensor to choose if you're moving to an application that demands significantly higher point density and range than the VLP-16 offered.

5. RoboSense Helios — The Competitive 360° Alternative

The RoboSense Helios is a 32-channel, 360°×40°, 100m range sensor with stable ROS drivers. Its price (~€2,000) positions it between the XT16 and XT32. It's a solid alternative if you're looking for a rotating 360° sensor with a good ROS ecosystem.

RoboSense has experienced explosive growth in robotics (+1,458% in 2026), meaning drivers and the ROS community are rapidly developing.

6. Complete Comparison Table

Here is the comparison table of all potential replacements, with the VLP-16 as reference:

VLP-16: 16ch, 100m, 360°×30°, 300K pts/s, 830g, ~€4,000, ROS1+2

XT16 (Hesai): 16ch, 80m@10%, 360°×30°, 320K pts/s, 800g, ~€2,200, ROS SDK

XT32 (Hesai): 32ch, 120m, 360°×31°, 640K pts/s, 800g, ~€3,500, ROS SDK

OS0 Rev7/8 (Ouster): 32-128ch, 35-50m, 360°×90°, 1.3M pts/s, ~€3,600, ROS1+2

OS1 Rev7/8 (Ouster): 32-128ch, 90-200m, 360°×44°, ~€4,050, ROS1+2

Helios (RoboSense): 32ch, 100m, 360°×40°, ~€2,000, ROS drivers

OT128 (Hesai): 128ch, 200m, 360°×40°, 6.91M pts/s, ASIL-B, ~€8,000, ROS SDK

7. How to Migrate from the VLP-16?

The most critical migration point is the ROS driver change. The VLP-16 uses the velodyne_driver. Each alternative has its own driver: Hesai uses hesai_ros (ROS1) or hesai_ros2 (ROS2); Ouster uses ouster_ros; RoboSense uses rslidar_sdk.

In most cases, you just need to remap the /velodyne_points topic (VLP-16) to the equivalent topic of the new sensor (e.g., /hesai/pandar, /ouster/points, /rslidar_points). PointCloud2 messages are standard and compatible with all SLAM algorithms and Nav2.

For URDF and calibration files, Hesai and Ouster provide description packages (hesai_description, ouster_description) that include 3D models and transformation matrices.

Quick Decision Guide

Looking for the most direct replacement, same price or cheaper → XT16 (Hesai). Want more channels without changing format → XT32 (Hesai). Staying in the Ouster/Velodyne ecosystem → OS0 or OS1 (Ouster). Need max performance (128 channels, long range) → OT128 (Hesai). Good value with ROS support → Helios (RoboSense).

Conclusion

The end of the VLP-16 marks the end of an era, but the 2026 alternatives are more performant and often cheaper. The Hesai XT16 is the most faithful and economical replacement. For those who want to upgrade, the XT32, OS1 or OT128 offer significant performance leaps.

Use our comparator to view specifications side by side and find the sensor suited to your application.