{"id":"7799d0e4-3d25-40b5-919f-0b215f21d945","slug":"agibot-go-2","name":"AgiBot GO-2 (Genie Operator-2)","description":"AgiBot's second-generation embodied foundation model, released April 2026. Successor to GO-1 (open-sourced September 2025). Next-gen embodied base model for humanoid robots, integrating multimodal large models with mixture-of-experts system for industrial implementation.","brainType":"foundation-model","isOpen":false,"maturityStage":"pilot","architecture":"Embodied foundation model with multimodal LLMs + mixture-of-experts","reviewStatus":"reviewed","sources":[{"url":"https://www.agibot.com/article/231/detail/63.html","date":"2026-04-17","title":"AGIBOT Unveils New Generation of Embodied AI Robots and Models","sourceName":"AGIBOT"},{"url":"https://www.agibot.com/article/231/detail/56.html","date":"2026-04-09","title":"The Unity of Reasoning and Action: AGIBOT Unveils Genie Operator-2 (GO-2)","sourceName":"AGIBOT"},{"url":"https://www.agibot.com/article/231/detail/55.html","title":"AGIBOT Introduces Genie Sim 3.0","sourceName":"AgiBot"},{"url":"https://genie.agibot.com/en/geniestudio","title":"Genie Studio","sourceName":"AgiBot"}],"keyFacts":[{"label":"GO-2 ViLLA at Partner Conference (primary AGIBOT)","value":"AGIBOT's April 17 2026 Partner Conference release (Shanghai) lists GO-2 (ViLLA Embodied Foundation Model) under Manipulation Intelligence, saying it bridges planning and execution with Action Chain-of-Thought for long-horizon task performance and claiming state-of-the-art results on major benchmarks. Treat SOTA wording as company-stated ([AGIBOT](https://www.agibot.com/article/231/detail/63.html))","sourceUrl":"https://www.agibot.com/article/231/detail/63.html"},{"label":"Three Intelligences stack (primary AGIBOT)","value":"The same AGIBOT release organizes eight foundational AI products under a One Robotic Body, Three Intelligences architecture (Locomotion, Manipulation, Interactive), naming related models including BFM, GCFM, GE-2, Genie Sim 3.0, SOP, and WITA Omni alongside GO-2 and AGIBOT WORLD 2026. Treat product naming as company-stated ([AGIBOT](https://www.agibot.com/article/231/detail/63.html))","sourceUrl":"https://www.agibot.com/article/231/detail/63.html"},{"label":"Action CoT and dual-system (primary AGIBOT)","value":"AGIBOT's GO-2 page describes Genie Operator-2 as bridging a semantic-actuation gap via Action Chain-of-Thought (reasoning in action space to emit macro-plans) and an Asynchronous Dual-System with a lower-frequency Semantic Planning Module (System 2) and higher-frequency Action Following Module (System 1). Treat architecture claims as company-stated ([AGIBOT](https://www.agibot.com/article/231/detail/56.html))","sourceUrl":"https://www.agibot.com/article/231/detail/56.html"},{"label":"Company-stated benchmarks (primary AGIBOT)","value":"The same AGIBOT page reports company-stated benchmark figures for GO-2 including 98.5% average success on LIBERO, 86.6% zero-shot on LIBERO-Plus, 47.4 average on VLABench, and 82.9% real-world success after simulation-only training on Genie Sim 3.0, framed as outperforming pi0.5 and NVIDIA GR00T. Treat scores as company-stated, not independently verified here ([AGIBOT](https://www.agibot.com/article/231/detail/56.html))","sourceUrl":"https://www.agibot.com/article/231/detail/56.html"},{"label":"Embodied AI foundation model","value":"AgiBot describes Genie Operator-2, or GO-2, as an embodied AI foundation model that connects logical reasoning with physical execution through action intent sequences ([AgiBot GO-2](https://www.agibot.com/article/231/detail/56.html)).","sourceUrl":"https://www.agibot.com/article/231/detail/56.html"},{"label":"Simulation and benchmarking","value":"AgiBot identifies Genie Sim 3.0 as a simulation, data, and benchmarking platform supporting the evaluation and development of embodied AI systems ([AgiBot Genie Sim 3.0](https://www.agibot.com/article/231/detail/55.html)).","sourceUrl":"https://www.agibot.com/article/231/detail/55.html"},{"label":"Genie Studio integration","value":"AgiBot's Genie Studio page says the platform integrates base models, data collection, simulation, training, evaluation, and one-click real-machine deployment for embodied-intelligence development, including support for AgiBot's GO-1 foundation model and related model workflows ([Genie Studio](https://genie.agibot.com/en/geniestudio)).","sourceUrl":"https://genie.agibot.com/en/geniestudio"},{"label":"Simulation calibration","value":"AgiBot says Genie Studio uses 3D reconstruction and calibrated simulation environments, and reports less than five percent error between GO-1 model tests and real-device outcomes; treat the metric as company-stated ([Genie Studio](https://genie.agibot.com/en/geniestudio)).","sourceUrl":"https://genie.agibot.com/en/geniestudio"}],"aliases":[],"collisionRisk":"low","reviewNote":null,"builtOnBrainId":null,"createdAt":"2026-08-09T14:40:25.536Z","updatedAt":"2026-09-29T20:41:11.350Z","jsonLd":{"@context":"https://schema.org","@type":"SoftwareApplication","@id":"https://registry.deploy.report/brains/agibot-go-2","url":"https://registry.deploy.report/brains/agibot-go-2","name":"AgiBot GO-2 (Genie Operator-2)","description":"AgiBot's second-generation embodied foundation model, released April 2026. Successor to GO-1 (open-sourced September 2025). Next-gen embodied base model for humanoid robots, integrating multimodal large models with mixture-of-experts system for industrial implementation.","identifier":"7799d0e4-3d25-40b5-919f-0b215f21d945","applicationCategory":"foundation-model","publisher":{"@id":"https://deploy.report/#organization"}},"framework_metadata":{"framework_schema_version":"0.1.0","verification_status":"verified","maturity_stage":"pilot","lifecycle_state":null,"architectural_position":{"cohort":null,"sub_cohorts":[]},"within_cohort_verified_vs_claimed_pair":null,"cap_flags":[],"verification_depth":{"sources_count":4,"primary_source_types":[]}}}