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Train, Record, Optimize

Empower robotics algorithm innovation with unprecedented simplicity and efficiency.

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Supporting diverse algorithm training scenarios

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University LecturersCurriculum Teaching
  • Difficulties in configuring environments for students
  • Inconsistent device affecting experiment results
  • Hard to uniformly manage training outcomes
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Research GroupsThesis & Engineering Innovation
  • Limited local computing resources
  • Chaotic management of multiple experiments
  • New members take time to get up to speed
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University StudentsGraduation Projects / Course Assignments
  • Lack of reference case templates
  • Insufficient GPU resources
  • Difficulty in tracking and reproducing experiment
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BeginnersTechnical Introductory Learning
  • Tutorials are abstract and hard to understand
  • Time-consuming to configure for practice
  • Lack of resources and guidance
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Why Choose GradMotion?

title-rightBoost efficiency, so you can focus on algorithm innovation
Core Aspects
Environment Configuration
Computing Resources
Collaboration & Management
What You Need to Do
Typical Local Development
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Manual hassle: Installing software, resolving conflicts, time-consuming
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Performance throttling: Depending on local devices, troublesome to upgrade
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Fragmented and chaotic: Difficult to share and reproduce results
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Handle everything yourself
GradMotion
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One-click ready: Pre-installed environment, starts in seconds
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Unlimited scalability: Access powerful cloud computing on demand
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Centralized and transparent: Unified environment, full experiment traceability
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Focus on algorithm innovation
Recommended
Use GradMotion
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Environment Configuration6 official optimization images, get started in 5 minutes
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Experiment Reproducibility100% accurate replication with fully consistent environments
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Hardware CostsCloud-based on-demand access reduces hardware costs
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Parameter Tuning EfficiencyMulti-task parallel processing with AI assistance, efficiency doubled
Training Platform
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Make algorithm iterations as fast as lightning
  • 6 official images (full coverage of IsaacGym/IsaacSim)
  • Multi-task parallelism + AI parameter tuning
  • Supports multiple training scenarios (RL and IL)
Cloud Development Machine
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Experiment sandbox that never disappears
  • Online IDE + cloud storage for remote code modification
  • click to save/reuse personal images, reproduce experiments in 5 minutes
Cloud Desktop
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Your cloud-based graphics computer
  • Smoothly access a secure desktop via browser
  • Seamlessly handle the entire workflow from development → training → simulation verification
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Robotics Algorithm Resource Library

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HOT
UnitreeH1/G1/Go2Training for flat ground walking
Cuda:12.1Python:3.8.20PyTorch:2.4.1Ubuntu 20.04.5 LTSIsaac GYM:preview-4
robot1
HOT
ZhiyuanAgibot X1Training for flat ground walking
Cuda:12.1Python:3.8.20PyTorch:2.4.1Ubuntu 20.04.5 LTSIsaac GYM:preview-4
robot2
NEW
EngineAISA01Training for walking on rough terrain
Cuda:12.1Python:3.8.20PyTorch:2.4.1Ubuntu 20.04.5 LTSIsaac GYM:preview-4
robot3
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OpenloongTraining for stable walking
Cuda:12.1Python:3.8.20PyTorch:2.4.1Ubuntu 20.04.5 LTSIsaac GYM:preview-4
robot4
Complete resource library
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Working with outstanding innovators

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FAQ

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What is GradMotion? How is it different from traditional cloud computing platforms?

GradMotion is a vertical platform specifically designed for robotics algorithm research and development. Its core differences from traditional cloud computing platforms lie in:

  • Pre-installed professional environments: Ready-to-use robotics development environments (such as Isaac Gym/Sim) with one click, eliminating the need for manual configuration.
  • Algorithm optimization tools: Built-in research-exclusive features like AI parameter tuning and multi-task comparison.
  • Scenario-based solutions: Customized solutions tailored to scenarios such as teaching, thesis research, and graduation projects.
  • Computing power scheduling: Optimized to match embodied training scenarios.
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What specific scenarios is GM suitable for?
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Is there a fee upon registration?
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How is it specifically charged?
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How many steps are there from registration to operation?
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How to give problem feedback?
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Is there a local deployment solution?
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Do you provide algorithm optimization services?
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