cbtogu commited on
Commit
f62ae7d
·
verified ·
1 Parent(s): 3462e42

Create README.md

Browse files
Files changed (1) hide show
  1. README.md +113 -0
README.md ADDED
@@ -0,0 +1,113 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ ---
4
+
5
+ # GigaBrain Challenge 2026 – Task 7 VLA Policy Model
6
+
7
+ This repository provides the **Vision-Language-Action (VLA) policy model for Task 7** of the **GigaBrain Challenge 2026**.
8
+
9
+ Official Challenge Website:
10
+
11
+ https://gigaai-research.github.io/GigaBrain-Challenge-2026/
12
+
13
+ The GigaBrain Challenge aims to advance research in **embodied intelligence**, including:
14
+
15
+ - Vision-Language-Action (VLA) models
16
+ - world models
17
+ - robot learning systems
18
+ - closed-loop embodied agents
19
+
20
+ ---
21
+
22
+ # Task Overview
23
+
24
+ **Task 7** is one of the official tasks in the GigaBrain Challenge 2026 benchmark suite.
25
+
26
+ Each task evaluates an embodied agent’s ability to generate actions based on multimodal observations and task instructions.
27
+
28
+ For full task descriptions please refer to:
29
+
30
+ https://gigaai-research.github.io/GigaBrain-Challenge-2026/index.html#tracks
31
+
32
+ ---
33
+
34
+ # Model Description
35
+
36
+ This repository contains the **VLA policy model used for Task 7**.
37
+
38
+ The model is designed to:
39
+
40
+ - take **visual observations and language instructions** as input
41
+ - generate **robot actions**
42
+ - interact with a **world model** in a closed-loop evaluation environment
43
+
44
+ The VLA model serves as the **action generation component** in the challenge evaluation pipeline.
45
+
46
+ During evaluation:
47
+ Observation → VLA Model → Action → World Model → Next Observation
48
+
49
+ This loop continues until the task is completed or the episode terminates.
50
+
51
+ Participants may use this model as:
52
+
53
+ - a reference implementation
54
+ - a starting point for model development
55
+ - a component in their own embodied AI systems
56
+
57
+ ---
58
+
59
+ # Dataset
60
+
61
+ The dataset for all tasks is provided in the official challenge dataset repository:
62
+
63
+ https://huggingface.co/datasets/open-gigaai/CVPR-2026-WM-Track-Dataset
64
+
65
+ Access requires:
66
+
67
+ - Team registration
68
+ - Agreement to the challenge license
69
+
70
+ Please request access on the dataset page.
71
+
72
+ ---
73
+
74
+ # License and Usage Terms
75
+
76
+ This model is released as part of the GigaBrain Challenge 2026.
77
+
78
+ Use of this model and the associated datasets is governed by the GigaBrain Challenge 2026 Data & Model License Agreement.
79
+
80
+ Key terms include:
81
+
82
+ Intended for research and competition participation
83
+
84
+ Dataset redistribution is not permitted
85
+
86
+ Commercial use requires permission from the organizers
87
+
88
+ For full license terms please refer to the dataset repository:
89
+
90
+ https://huggingface.co/datasets/open-gigaai/CVPR-2026-WM-Track-Dataset
91
+
92
+ # Citation
93
+
94
+ If you use this model or dataset in academic research, please cite the challenge:
95
+ ```bibtex
96
+ @misc{gigabrain_challenge_2026,
97
+ title={GigaBrain Challenge 2026},
98
+ year={2026},
99
+ howpublished={https://gigaai-research.github.io/GigaBrain-Challenge-2026/}
100
+ }
101
+ ```
102
+
103
+ # Disclaimer
104
+
105
+ This model is provided as-is without warranty of any kind.
106
+
107
+ The organizers are not responsible for any issues arising from its use.
108
+
109
+ # Contact
110
+
111
+ For questions about the challenge, please visit the official website:
112
+
113
+ https://gigaai-research.github.io/GigaBrain-Challenge-2026/