Deep Robotics
Future Trends in Quadruped Robotics Technology
Quadruped robotics technology is moving fast, and the trends are already visible in what you can buy today: learned locomotion instead of hand-tuned gaits, perception and mapping running onboard, wheels and legs on one chassis, sealed hardware for real weather, and open software that starts in simulation. If you are planning a lab purchase or an inspection program, these are the shifts that decide which platform will still be useful in three years.
This article walks through each trend using the Deep Robotics platforms RoboticsSelect carries, from the research-oriented Lite3 family to the industrial Lynx M20 Pro, and closes with what the changes mean for buyers.
Key takeaways
- Reinforcement-learning gaits are now a factory option: the Lite3's AI Motion Mode raises step height from 15 cm to 18 cm on the same hardware.
- Perception has moved onboard, from a Jetson and depth camera on the Lite3 Pro to dual 96-line LiDARs and self-built maps on the Lynx M20 Pro.
- Wheel-legged designs such as the Lynx M20 Pro roll at 2 m/s on flat ground and still climb 25 cm stairs and 45-degree slopes.
- Open C++ and Python SDKs with ROS packages and simulator models let code move up the tier ladder as a program grows.
Trend 1: Learned locomotion replaces hand-tuned gaits
The biggest shift in quadruped control is training gait policies in simulation and deploying them to hardware. On the Lite3 family it is a factory option. Every Lite3 walks, trots, and runs on flat and uneven terrain, climbs steps up to 15 cm, and rights itself after a fall using its built-in 9-axis IMU and joint encoders. Unlock AI Motion Mode and the learned controller takes step height to 18 cm on the same chassis. The Lite3 Basic AI ships with that mode unlocked, and Deep Robotics publishes rl_training and Lite3_rl_deploy repositories for training locomotion policies with PyTorch or TensorFlow and running them on the robot.
The industrial tier uses the same idea at larger scale: the Lynx M20 Pro combines Model Predictive Control and reinforcement learning to manage its wheel-to-leg transitions. One manufacturer condition worth knowing: unlocking AI Motion Mode on any Lite3 shortens the joints, legs, and battery warranty from 6 months to 3 months.
Trend 2: Perception and autonomy move onboard
A few years ago a quadruped was a chassis you bolted a laptop to. Now perception compute and sensors arrive installed, and the tier you buy decides how much autonomy works on day one. The Lite3 Pro adds an NVIDIA Jetson Xavier NX and an Intel RealSense D435i depth camera, with forward obstacle avoidance and Visual SLAM pre-configured and YOLOv8-based people tracking as a demo. The Lite3 LiDAR adds a Livox or Leishen LiDAR module (a laser scanner that measures distance in 3D) on top of the Pro's camera stack, with Faster-LIO SLAM and the Nav2 navigation stack pre-configured and a LiDAR-exclusive Auto Mode: drive the robot through a space once to build the map, then send goal poses.
The Lynx M20 Pro carries the full inspection stack: dual 96-line LiDAR units with a 360 by 90 degree field of view at roughly 860,000 points per second, dual wide-angle cameras with bidirectional lighting, and dual industrial processors with 16 GB RAM each. It builds its own map in Regular mode, then patrols in Navigation mode with terrain recognition and omnidirectional obstacle avoidance.
| Platform | Perception hardware installed | What runs out of the box |
|---|---|---|
| Lite3 Basic | Wide-angle camera, ultrasonic radars, 9-axis IMU | Obstacle stop, visual following |
| Lite3 Pro | Jetson Xavier NX, RealSense D435i depth camera | Forward obstacle avoidance, Visual SLAM |
| Lite3 LiDAR | LiDAR module plus the Pro camera stack | Faster-LIO SLAM, Nav2, Auto Mode navigation |
| Lynx M20 Pro | Dual 96-line LiDARs, dual wide-angle cameras | SLAM, autonomous navigation, obstacle avoidance |
Trend 3: Wheels and legs on one platform
Pure legs are inefficient on flat ground and pure wheels stop at the first curb. Wheel-legged hybrids solve both, and the Lynx M20 Pro is the example in our catalog: Deep Robotics describes it as the first wheeled-legged robot built specifically for challenging terrain and hazardous industrial environments. It rolls at a recommended 2 m/s (5 m/s lab-tested maximum), climbs continuous 25 cm stairs, clears single steps up to 80 cm, handles 45-degree slopes, and fits through spaces as narrow as 50 cm, all without manual reconfiguration.
At 33 kg it is transportable by one operator; its legs run hot after a run, so let it cool before handling. Its rated payload is 15 kg, with a 50 kg maximum static load, which covers thermal, gas, PTZ camera, or arm packages with margin.
Trend 4: Built for weather and long shifts
Deep Robotics (Hangzhou Yunshenchu Technology) was founded in 2017 in Hangzhou by a team of Zhejiang University PhDs and was the first company in China to run fully autonomous substation inspections with quadruped robots. That inspection heritage shapes the catalog: hot-swappable batteries, self-recovery from falls, and an open SDK across the range.
Inspection value comes from showing up in bad weather on schedule, and the hardware is catching up. The Lynx M20 Pro is IP66 rated with both batteries installed (dust-tight and protected against powerful water jets, but not immersion) and operates from -20 to 55 degrees C. It runs up to 3 hours unloaded with a 15 km range, or 2.5 hours at rated load, on hot-swappable batteries that can be changed one at a time while the robot stays powered. A battery charges in about 1.5 hours, the included hub charges two at once, and an optional self-charging capability lets the robot return to its station and top itself up between patrols.
The research tiers are a different class. The Lite3 family is rated for 0 to 40 degrees C in dry indoor and controlled outdoor conditions and carries no IP rating, so rain, snow, and wet ground are off the menu. Runtime is 1.5 to 2 hours of continuous walking per hot-swappable pack, with a 40-minute to 1-hour recharge, so the standard lab pattern is two or three packs rotating through the charger.
Before you buy
Match the IP rating and temperature range to the worst conditions you will operate in, total your sensor payload in kilograms against the rated budget, measure your stairs against the step rating, and count batteries against shift length. If the mission is patrolling in real weather, spec IP66-class hardware from the start.
Trend 5: Open software and simulation-first development
Closed controllers are disappearing from serious platforms. Every Lite3 ships with C++ and Python SDKs, ROS 1 (Noetic) and ROS 2 (Foxy) packages on Ubuntu 20.04, and an RK3588 motion host running control at up to 1 kHz. You can send walk, trot, stand, and pose commands at the locomotion layer or write your own controllers at joint level with torque, velocity, and position feedback. URDF models published on Deep Robotics' GitHub load into Gazebo, MuJoCo, and NVIDIA Isaac Sim, so policies train before touching hardware.
Because all five Lite3 tiers share the same 12-DoF chassis, motors, motion host, and battery, code, controllers, and accessories move freely between them; a spare Lite3 controller works with every tier. The Lynx M20 Pro is a separate stack: Deep Robotics publishes a TCP and UDP control and telemetry protocol with C++ sample code and a hardware manual for payload integration, so plan on porting rather than reusing Lite3 code. Multi-robot work is supported in the pragmatic sense on either platform: each unit runs its own SDK instance, and coordination logic is yours to write.
What these trends mean for buyers
Legged robots earn their keep in places wheels cannot go: stairs, rubble, gravel, plant floors with cable trays, and outdoor terrain that changes with the weather. In practice they do three jobs well, and the job decides the tier. Research and teaching, where they are the standard hardware for legged-locomotion coursework, reinforcement-learning experiments, and SLAM development (simultaneous localization and mapping, the process of building a map while tracking position inside it). Industrial inspection, where they walk patrol routes through substations, pipelines, and warehouses on schedule. And development platforms, where integrators mount arms, sensor pods, and custom compute.
The practical effect is a clean capability ladder. Deep Robotics sells the Lite3 as one chassis with five configurations that differ in what runs on top: the Basic is the bare locomotion platform, the Basic AI unlocks learned gaits, the Venture adds dual Ethernet and 24 V, 12 V, and 5 V power outputs for your own sensors, the Pro adds the Jetson and depth camera, and the Lite3 LiDAR adds the mapping stack. Above them sits the Lynx M20 Pro for outdoor patrol. Payload budgets shrink as perception hardware is added: 5 kg on the Basic and Basic AI, 4.5 kg on the Venture, 4 kg on the Pro, 2.5 kg on the LiDAR, and 15 kg on the Lynx.
Decide which job pays for the robot, then let the second use case be a bonus. Buying an industrial machine for a teaching lab wastes budget, and sending a lab machine on outdoor patrol wastes the machine. The Lite3 tiers sit in our $2,000 to $10,000 and $10,000 and up research collections, and the Deep Robotics comparison lays out payload, sensors, compute, and runtime for every model in one table.
RoboticsSelect is an authorized Deep Robotics dealer. Every platform ships through the manufacturer's official channel with a 12-month electronics warranty, free shipping to the contiguous 48 U.S. states, and U.S.-based support at support@roboticsselect.com or (412) 415-7375. Research groups and integrators can order by purchase order.
The takeaway
The future of quadruped robotics is not a single breakthrough; it is learned gaits, onboard perception, hybrid wheel-leg mobility, sealed hardware, and open software arriving together, and each one is already on a product page. Choose the tier whose out-of-the-box capability matches your first-year mission, and grow through the same SDK. Start with the quadruped robot buying guide to map your use case to a platform.
Products in this article
FAQ
Are quadruped robots weatherproof?
It depends on the tier. The Lite3 family is not weatherproof; Deep Robotics rates it for 0 to 40 degrees C and advises against rain, snow, and wet conditions. The Lynx M20 Pro is IP66 with both batteries installed and operates from -20 to 55 degrees C, which is why it is the one rated for all-weather outdoor patrol.
Which model should a reinforcement-learning lab start with?
The Lite3 Basic AI: AI Motion Mode ships unlocked, the deployment repo is supported out of the box, and URDF models for Gazebo, MuJoCo, and Isaac Sim keep the sim-to-real loop tight. Training runs on your host machine, not the robot.
Can these robots climb stairs?
Yes, within rated geometry. The Lite3 handles steps up to 15 cm, or 18 cm in AI Motion Mode, and slopes to 40 degrees; the Lynx M20 Pro climbs continuous stairs to 25 cm with single-obstacle clearance up to 80 cm. Measure your actual risers before promising a deployment route.
Can multiple quadrupeds work together as a swarm?
Multiple units can operate in the same space, each running its own compute and SDK instance. Coordinated behavior is an engineering project on top, typically through ROS multi-master or a centralized planner, since the platforms do not share state automatically.
What warranty and support come with Deep Robotics platforms?
A 12-month manufacturer warranty covers electronics and the locomotion controller, with joints, legs, and battery covered for 6 months (3 months once AI Motion Mode is unlocked on a Lite3). RoboticsSelect handles warranty claims directly as the authorized dealer.
What is the lead time on the Lynx M20 Pro?
The Lynx M20 Pro is a build-to-order industrial platform, typically 4 to 6 weeks from order to dispatch, coordinated directly with Deep Robotics. Contact us to confirm the current lead time for your configuration.