Embodied Future
Overview
Focus on open-source embodied intelligence and physical-world interaction, and promote open collaboration across models, data, simulation, toolchains, and real-task validation for complex dual-arm manipulation and all-terrain patrol in real industrial parks.
The Embodied Future track targets real problems in robotics and physical-world interaction. It focuses on open embodied-intelligence systems that can perceive, decide, and act, and encourages teams to build runnable, reproducible, and evaluable solutions around complex dual-arm manipulation and all-terrain patrol in real industrial parks.
The track is not about single-point demos only. It emphasizes the complete loop across models, simulation, hardware, system engineering, and task verification, helping robots complete verifiable decision-making and execution in real tasks.
Prize Information
*The winner of the Grand Award will be selected from the four track champion teams.
Additional Awards
Question Types
Based on the X-Eval simulation and real-machine integrated evaluation platform, this challenge covers VLA, WAM, dual-arm collaborative manipulation, efficient simulation, and sim-to-real transfer for algorithm development and performance evaluation.
Based on real industrial park scenarios, this challenge focuses on autonomous navigation, real-time obstacle avoidance, multi-terrain adaptive motion control, and task scheduling to complete multi-objective inspection tasks in complex terrain.
Enable robots to complete verifiable decision-making and execution in real tasks, and promote open collaboration across models, data, simulation, toolchains, and real-task validation.
Core Work Requirements
Core Work Requirements
- Entries should build runnable, reproducible, and evaluable embodied-intelligence solutions around the specified challenge, forming a complete loop from perception, decision-making, to execution and validation.
- Entries should provide code, deployment instructions, third-party dependency notes, and data-source explanations, and clearly disclose the model, system architecture, runtime flow, resource usage, and open-source plan.
- The preliminary round focuses on project direction, technical feasibility, and open-source value. The semi-final requires a runnable demo, code repository, technical documentation, and evaluation results. The final focuses on live demos, defense quality, implementation potential, and long-term growth.
Submission Requirements
Detailed submission requirements are as follows:
*The schedule may be adjusted flexibly according to actual progress and is subject to the committee’s final notice.
Review Focus
Projects will focus on the following areas:
- Challenge fit and task value
- Technical solution and model capability
- Engineering implementation and runnability
- Evaluation results and evidence quality
- Open / open-source contribution and long-term growth potential
Participant Support
This track will provide development resource support to participating teams that complete their preliminary-round submission and pass the submission validity review. The support may include computing resources, cloud services, or equivalent competition-related resources, with a maximum value of RMB 200 per team. Support will be allocated based on teams' overall preliminary-round scores, with no more than 300 allocations available per track in principle. After the preliminary-round submission deadline, the Organizing Committee will notify eligible teams via email or official competition community channels to submit the required materials, based on the submission and review results, and will distribute the resources accordingly. This resource support does not constitute a competition prize and will not affect evaluation scores or qualification for advancement. The specific forms of support, eligibility criteria, documentation requirements, distribution procedures, and timeline shall be subject to further notice from the Organizing Committee.
Best-fit Teams
- This track is suitable for universities, research institutions, and enterprise teams working on embodied intelligence, robotic manipulation, VLA, world models, reinforcement learning, autonomous navigation, motion control, and system integration.
Patrol Track — Resource Access
Related open model repositories, product manuals, secondary-development API docs, and WeChat Q&A groups may be provided. Fill in the form with your GitHub account and email; materials will be sent by email.


After receiving the email and accepting the invitation, click this link to access the materials:
https://github.com/DeepRoboticsLab/goai_embodied_future_material
If you did not receive the email, join the official WeChat group and contact the person in charge.