Image/s credit: Tencent Robotics X Lab.

Tencent's MAX Quadruped: Wheels Meet Legs in Perfect Harmony

Creator: Tencent Robotics X Lab

Country: China

Year: 2021


The quadruped that flawlessly combines wheels and legs, with the brains for complex moves and terrain—meet MAX by Tencent Robotics X Lab.

Status: Prototype, In development

Operation: Autonomous

Robot Type / Domain: Multi/General-Purpose, Research

Tasks: Research and Development, Wheeled and Legged Locomotion, Complex Terrain

Whimsical Intro (by addoobot)

Imagine a dog that can somersault and balance on wheels—meet MAX, the quadruped that not only has the moves but also the brains to accurately perceive its environment, learn, and promptly adapt to changing conditions. Discover more about this remarkable robot dog below.

More Videos

Play video background image - video 1
MAX showing its impressive moves on piles
Play video background image - video 2
MAX robot dog showing its moves and wheeled locomotion
Play video background image - video 3
Reinforcement Learning and Generative Pre-trained Models

Learn More

Introduction to MAX - the Multimodal Quadruped Mobile Robot

Is it a legged robot, or is it a wheeled robot? Well, it’s both. But why, you ask? Why not! On flat surfaces, MAX can speed along using its wheels, and when faced with challenging terrain, it switches to its legs to move with excellent agility. Ingeniously, the wheels are incorporated into the robot’s knees. By bending its knees, the wheels are activated, transforming MAX into a wheeled mobile robot ready for fast locomotion.

If you've seen the videos, you’ve probably noticed that MAX can perform an impressive range of movements: standing upright on two wheels, jumping over obstacles and dense plum blossom piles, balancing on a single pile with a small foot area, performing squats and somersaults, and freerunning over various obstacles.

These movements aren’t easy. The robot encounters shocks, bumps, shaky terrain, and more, requiring constant adaptation and adjustment. Nonetheless, Max executes the moves with precision and agility. And impressively, MAX's positioning accuracy is less than 1%, and its terrain recognition accuracy is within 2 cm.

Let's dive deeper into what makes MAX so incredible!

What Makes MAX Quadruped Special?

To perform its impressive array of movements, MAX is equipped with advanced intelligence and a suite of sophisticated algorithms. For instance, it uses perception algorithms to observe and understand its environment, recognizing terrain and obstacles. This allows MAX to perform intricate trajectory and motion planning (such as omnidirectional six-degree-of-freedom motion planning) to navigate its path and movements in real-time.

MAX also relies on control algorithms, like model predictive control, to manage its movements and prevent failures such as falling. These algorithms enable MAX to adjust its actions dynamically, ensuring stability and precision.

But these are just a few of the many algorithms integrated into MAX. It’s continually undergoing enhancements and optimizations, both in terms of algorithms and design, making it more capable and efficient with each iteration.

Incorporating Artificial Intelligence for Improved Agility

MAX Quadruped also boasts advanced artificial intelligence capabilities, including self-developed model algorithms and deep reinforcement learning. By integrating cutting-edge pre-trained AI models and reinforcement learning technology into its control systems, MAX's flexibility and autonomous decision-making abilities have been significantly enhanced. This enables the robot to adapt and respond to complex and changing environments with ease, further showcasing its remarkable agility and intelligence.

Learning in Stages

Tencent Robotics X Lab has developed a three-stage learning process for their robot dogs using pre-training models and reinforcement learning. Summarized briefly, in the first stage, they collected real dog motion data, like walking and jumping, and used this to train the robots to imitate these movements. In the second stage, the robots were taught to link these movements with environmental data, allowing them to adapt to different surroundings. Finally, in the third stage, the robots used their accumulated knowledge to solve complex tasks end-to-end by analyzing information and making top-level strategic decisions. This progressive learning allows the robots to build on their knowledge continuously and respond flexibly to new challenges.

Training Using "World Chase Tag"

To train MAX's new skills, researchers created an obstacle chase game inspired by "World Chase Tag," where two athletes compete, one as the pursuer and the other as the evader. In the robot version, two MAX robots are placed in a 4.5 x 4.5-meter field with obstacles. One robot is randomly assigned to pursue while the other evades and aims to touch a flag. If the evader touches the flag, roles switch, and the game continues until the pursuer catches the evader.

This game helped MAX develop reasoning and decision-making abilities using deep reinforcement learning. For instance, if the pursuer realizes it can't catch the evader before it reaches the flag, it will wait for the next opportunity. The robots also exhibit behaviors like jumping to catch the evader or evading obstacles, mimicking real-world animal actions. These strategies, learned in simulation, transfer seamlessly to real-world scenarios, enhancing MAX's ability to adapt and perform complex tasks autonomously. But this is just one way to train the robot dogs, similar games can be utilized to enhance the learning process.

Brief History

Tencent Robotics X Lab was founded in 2018 in Shenzen, China. The lab aims to create intelligent robots that can collaborate with humans. The lab focuses on fundamental areas like perception, movement, and dexterous manipulation, essential for a robot's mobility and interaction with its environment.

By integrating AI technologies such as deep reinforcement learning, the lab enhances robots' abilities to learn and adapt autonomously in virtual settings. The ultimate goal is to enable robots to make autonomous judgments and decisions, completing tasks independently in dynamic and uncertain environments. Tencent Robotics X Lab envisions a future where humans and robots coexist and collaborate seamlessly, driving innovation and progress across various fields.

Fun Corner (by addoobot)

Cats are no longer the problem for future dog pets—it's those robotic counterparts!
A meme showing people watching, with amazement, a robot dog doing a back-flip while a neglected real dog being resentful

Technical Specifications

• Positioning accuracy: Less than 1%

• Terrain recognition accuracy: Less than 2cm

• Wheeled locomotion speed: Up to 25 km/hr

Battery Operated? Yes

Gaits: Static, Dynamic, Walk, Run, Pronk, Bound, Pace, Trot, Jump, Bounce, Creep, Other, Somersault

Number of Legs: 4

No more specs to show.

Please visit the official website for more accurate, up-to-date, and complete information on this post. Visit website   External Link Icon

Comment by addoobot - Our Perspective

This robot dog is not yet commercialized, but we hope it will be soon because the capabilities and moves demonstrated are nothing short of those already available on the market. What we particularly find impressive is its unique way of switching between legs and wheels, not to mention its advanced AI, control, and perception systems.  Kudos to Tencent Robotics X Lab. We'd love to hear your opinion! Comment below.

addoorable score:
The robot is somewhat 'addoorable', especially with its fancy moves and somersaults. The sleek design and impressive agility definitely add to its charm.

Top 5+ Qualities (by addoobot)

What we find to be the top qualities of MAX by Tencent Robotics X Lab:

  • Multimodal Mobility: Legs for walking on rough terrain and wheels for speeding on flat surfaces.
  • Advanced Perception: Visual positioning and terrain recognition for identifying and navigating complex environments in real-time.
  • Sophisticated Control: Maintains stability and precision with high-precision control algorithms.
  • AI-Driven Learning: Deep reinforcement learning and pre-trained AI models to adapt and respond autonomously to changing environments.
  • Versatile Movement: Executes complex maneuvers like jumping and somersaults with agility.

Disclaimer: For informational purposes only. The provided data and/or content are intended as references and may contain errors. We appreciate your help in maintaining accuracy; if you spot any errors, please notify us. For the most reliable and up-to-date information, kindly refer to the official website. By using addoobot and its contents and services, you agree to our Terms and Conditions, Privacy Policy, and Cookie Policy.

Thumbs Down Icon Thumbs Up Icon
0 1 2 3 4 5 6 7 8 9 10

Select appealing qualities


Sign in to comment, reply, and more

No Comments Yet

Be the first to share your thoughts!