Motphys
MotrixArena S1 obstacle course panorama
2026 S1 Season · Concluded

MotrixArena S1 Simulated RL Challenge

Teams trained quadruped robot dogs on Motphys's in-house MotrixLab platform to clear a four-stage, multi-terrain obstacle course — 151 teams competed this season.

Through reinforcement learning, quadruped robots cross any terrain autonomously

MotrixArena S1 was hosted by Motphys, run by the Xbotics embodied-AI community, and co-organized by Vbot and D-Robotics. Participants began with flat-ground navigation and worked up to multi-terrain obstacle crossing, learning to control quadruped robot dogs across any terrain by writing the code themselves — all on Motphys's in-house MotrixLab training platform.

Vbot quadruped robot dog
01

Two-stage tasks

From flat-ground navigation to multi-terrain obstacle crossing — difficulty escalates stage by stage, covering quadruped control from basics to full terrain.

02

Multi-terrain · domain randomization

Bumps, stairs, suspension bridges, and randomized ground parameters systematically test policy robustness and generalization.

03

Full-stack in-house platform

MotrixLab training framework + MotrixSim physics engine, with PPO built in — large-scale parallel training, open-source and free.

Two-stage challenge · tasks & format

Stage 1 flat-ground navigation

STAGE 1

Flat-ground navigation

The entry-level stage: on flat ground, the quadruped walks steadily from the start to a target point — the focus is basic navigation and walking control.

STAGE 2

Quadruped obstacle course

From start to finish across three sections of escalating difficulty, comprehensively testing the quadruped's all-terrain control and algorithm tuning.

Bumps & slopes
Section 1

Bumps & slopes

Rough terrain + slopes

Stairs & bridge
Section 2

Stairs & bridge

Wave terrain + stairs + suspension bridge

Random ground
Section 3

Random ground

Randomized ground parameters (bumps, friction, etc.)

Results · champion & runner-up spotlight

151 teams registered and competed fiercely in simulation. The total score sums flat-ground navigation plus the three obstacle sections — here are the two teams at the top.

🏆 Champion · First Prize

scav

TU Berlin

108

Total · #1

Champion scav
Champion scav

scav · 1/2

20

Flat nav

18

Bumps & slopes

55

Stairs & bridge

15

Random ground

  • The only team to clear all three obstacle stages with a single policy model
  • The only run to double back from the bridge to the riverbed for the red-packet bonus — zero falls, remarkably smooth
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🥈 Runner-up · Second Prize

just do it

UCAS

95

Total · #2

Runner-up just do it
Runner-up just do it

just do it · 1/2

20

Flat nav

20

Bumps & slopes

35

Stairs & bridge

20

Random ground

  • Staged training plus reward reshaping — steadily clearing every terrain.
  • Switching from another framework to MotrixLab, the team found it “lighter to pick up and smoother to run”.
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The platform

Start training on MotrixLab

The platform MotrixArena teams used — open-source, free, and ready to go.

Explore MotrixLab