Ola-Sem Open Source Release and UniWAM Model
Overview
Ola-Sem's UniWAM model, a unified world-action model, is officially open-sourced, achieving state-of-the-art results on multiple benchmarks and enabling human-robot co-training scaling trends. The model's code and weights are fully available for research and application.
Generated from attributed reports · Updated 2 hours ago
Event evidence and corrections
1 attributed source owners. Ownership does not establish independent confirmation. Quantities are reported separately and are never added together.
Reported quantity · Reported success rate: 89.1 percent · Basis not reported · Differing source assertions
“这不仅是一个技术思路，UNITAS 已在多项机器人操作评测中展现出 “ 屠榜 ” 实力：仅凭 1.7B （17 亿）参数，在 LIBERO 上取得 99.8% 的平均成功率、在 LIBERO-Plus 上达到 89.1% ，并在 RoboTwin 2.0 双臂操作的 Clean 与 Randomized 设置中分别取得 92.94% 和 93.04% 的成功率，超越参数规模达 6B（60 亿） 的 Fast-WAM、 8B（80 亿） 的 Motus，以及 π0.5、LingBot-VA、PointWorld 等模型， 在多项基准测试中全面夺冠， 进一步 在真实机器人操作执行 上同样表现突出， 任务平均成功率达到 85% ！”
Exact source · revision 1jiqizhixin
Reported quantity · Reported success rate: 85 percent · Basis not reported · Differing source assertions
“这不仅是一个技术思路，UNITAS 已在多项机器人操作评测中展现出 “ 屠榜 ” 实力：仅凭 1.7B （17 亿）参数，在 LIBERO 上取得 99.8% 的平均成功率、在 LIBERO-Plus 上达到 89.1% ，并在 RoboTwin 2.0 双臂操作的 Clean 与 Randomized 设置中分别取得 92.94% 和 93.04% 的成功率，超越参数规模达 6B（60 亿） 的 Fast-WAM、 8B（80 亿） 的 Motus，以及 π0.5、LingBot-VA、PointWorld 等模型， 在多项基准测试中全面夺冠， 进一步 在真实机器人操作执行 上同样表现突出， 任务平均成功率达到 85% ！”
Exact source · revision 1jiqizhixin
Developments
- 2026-10-13 02:33 UTC · 1 reportsOla-Sem Open Source Release and UniWAM ModelMachine Heart — Robotics on WeChat：Revealing the Scaling Trends of Human-Robot Co-Training. Euler Wanxiang Collaborates with Hong Kong University of Science and Technology (Guangzhou) to Open-Source Embodied UniWAM
- 2026-10-12 03:16 UTC · 1 reportsGlobal First Robot Task Native 3D World Model: Cross-Dimensional UNITAS Enables Robots to Learn Physical Intuition, Sweeping Multiple BenchmarksMachine Heart — Robotics on WeChat：Global First Robot Task Native 3D World Model: Cross-Dimensional UNITAS Enables Robots to Learn Physical Intuition, Sweeping Multiple Benchmarks
Report timeline
Follow attributed reports and material updates.
- Machine Heart — Robotics on WeChatSignalRevealing the Scaling Trends of Human-Robot Co-Training. Euler Wanxiang Collaborates with Hong Kong University of Science and Technology (Guangzhou) to Open-Source Embodied UniWAM
Euler Wanxiang and the Hong Kong University of Science and Technology (Guangzhou) jointly released UniWAM, a Unified World and Action Model, which enables unified learning of semantic understanding, future visual prediction, and action generation. UniWAM achieved state-of-the-art results on benchmarks such as LIBERO, LIBERO-Plus, and RoboTwin 2.0, and its capabilities in instruction following, complex interaction, and long-term task execution were validated through real-world experiments. The model code and weights are fully open-sourced, supporting further research and application.
- Machine Heart — Robotics on WeChatSignalGlobal First Robot Task Native 3D World Model: Cross-Dimensional UNITAS Enables Robots to Learn Physical Intuition, Sweeping Multiple Benchmarks
UNITAS is the world's first robot task-native 3D world model, achieving cross-perspective and cross-body generalization capabilities by unifying observation, action, and environmental changes within a three-dimensional physical space. The model performs exceptionally well in multiple benchmark tests, including LIBERO, LIBERO-Plus, and RoboTwin 2.0. With just 1.7B parameters, it outperforms larger parameter models such as Fast-WAM (6B) and Motus (8B).
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