Embodied Intelligence Breakthrough: Amap Fully Open-Sources Universal Robot Base Model ABot-M0

marsbitОпубліковано о 2026-04-01Востаннє оновлено о 2026-04-01

Анотація

Embodied Intelligence Breakthrough: AutoNavi Open-Sources Universal Robot Base Model ABot-M0 AutoNavi has announced the full open-source release of ABot-M0, the world's first unified architecture-based embodied manipulation base model. This model is designed to enable "one general brain to adapt to multiple forms of robots," aiming to break down barriers between heterogeneous hardware and accelerate the adoption of embodied intelligence in industrial and household settings. ABot-M0 demonstrated exceptional performance in industry tests, achieving a task success rate of 80.5% on the Libero-Plus benchmark—a nearly 30% improvement over the previous benchmark, Pi0. It also set new state-of-the-art records on benchmarks like Libero and RoboCasa. The open-source release addresses long-standing challenges in the field, such as data isolation and deployment difficulties, by providing resources across three key dimensions: - **Data:** The UniACT dataset, the largest of its kind, with over 6 million real operation trajectories and full data pipeline tools. - **Algorithm:** The model architecture and training framework, featuring innovative components like Action Manifold Learning (AML) and a dual-stream perception architecture. - **Model:** End-to-end pre-trained models and a complete toolchain for out-of-the-box deployment, significantly lowering the barrier to adaptation. According to AutoNavi's ABot-M0 technical lead, this open-source initiative aims to build a bridge between ac...

The field of embodied intelligence has reached a milestone. Amap today officially announced the full open-source release of the world's first unified architecture-based robot operation base model ABot-M0. The core positioning of this model is to achieve "one universal brain adaptable to various forms of robots," aiming to break down barriers between heterogeneous hardware and accelerate the transition of embodied intelligence from the laboratory to industrial and home scenarios.

Core Technology and Performance

ABot-M0 has demonstrated outstanding performance in multiple industry authoritative benchmark tests. Data shows that the model achieved a task success rate of up to 80.5% on the Libero-Plus benchmark, a nearly 30% improvement over the previous industry benchmark solution Pi0. Furthermore, it set new SOTA (State-of-the-Art) records in tests such as Libero and RoboCasa.

Full Open-Source Across Three Dimensions

To address the long-standing pain points of "data silos" and "deployment difficulties" in the field of embodied intelligence, Amap's open-source release covers three key dimensions: underlying data, core algorithms, and pre-trained models:

  • Data Level: Open-sourced the currently largest universal robot dataset UniACT. This dataset integrates over 6 million real operation trajectories and provides a complete processing pipeline from heterogeneous data to standardized training data.

  • Algorithm Level: Simultaneously released the model architecture and training framework. Core highlights include Amap's innovative Action Manifold Learning (AML) algorithm and Dual-Stream Perception Architecture, endowing robots with exceptional spatial understanding and action execution capabilities.

  • Model Level: Provided end-to-end pre-trained models and a complete toolchain. Developers can achieve "out-of-the-box" usability without building a framework from scratch, significantly lowering the barrier to adapting to industrial collaborative or home service robots.

Industry Impact

Amap's ABot-M0 technical lead stated that true general embodied intelligence requires the collective refinement of global developers. The open-sourcing of ABot-M0 is not just a sharing of technology but also aims to build a bridge connecting academic research and industrial application, enabling every robot of different forms to possess a smart, reliable, and universal "brain".

Пов'язані питання

QWhat is the name of the general-purpose robotic base model that AutoNavi has fully open-sourced?

AThe model is called ABot-M0.

QWhat is the core positioning or main goal of the ABot-M0 model?

AIts core positioning is to achieve 'one general-purpose brain adapted to various forms of robots', aiming to break down barriers between heterogeneous hardware.

QWhat is the name of the large-scale dataset that was open-sourced alongside the model, and how many real operation trajectories does it contain?

AThe dataset is called UniACT, and it integrates over 6 million real operation trajectories.

QOn which benchmark did ABot-M0 achieve a task success rate of 80.5%, and what was the performance improvement over the previous benchmark solution?

AIt achieved an 80.5% success rate on the Libero-Plus benchmark, which is a nearly 30% improvement over the previous benchmark solution, Pi0.

QName two core technical highlights of the algorithm that were open-sourced.

AThe two core technical highlights are the Action Manifold Learning (AML) algorithm and the Dual-Stream Perception architecture.

Пов'язані матеріали

After Three Consecutive Quarters of Decline, Can the Crypto Market Find a Window for Stabilization in Q3?

The cryptocurrency market has just concluded its worst-performing quarter since 2022, with total capitalization dropping 12.6% to $2.1 trillion. All core metrics indicate capital is leaving the sector, not just rotating within it. Bitcoin fell 14.2% and Ethereum dropped 25.4% in Q2, breaking their previous correlation with US tech stocks. A key driver is the reversal in US spot Bitcoin ETF flows, which saw a net outflow of approximately $4.67 billion in Q2, including a record monthly outflow near $4.5 billion in June. While recent data suggests long-term holders are accumulating again, sustained ETF outflows mean continued selling pressure. Market focus is now singularly on the Federal Reserve. The upcoming July FOMC meeting is seen as the most critical event for Q3. A dovish signal could support Bitcoin reclaiming a $68,000-$84,000 range, while a hawkish stance might establish a new trading band around $50,000-$56,000. Additionally, regulatory uncertainty persists, with the progress of the crucial *CLARITY Act* stalling in the Senate, reducing its perceived 2026 passage probability to 40-45%. Despite the broad downturn, a few sectors showed growth. Prediction markets saw nominal volume surge 48.7% year-over-year to $113.8 billion, and tokenized collectibles transaction volume rose 143% quarterly to $1.4 billion. The Real-World Asset (RWA) tokenization sector also continued steady growth, now representing ~$28.1 billion in on-chain value. The market's foundation for an extreme crash appears limited, with Bitcoin price hovering near its 200-week moving average. However, the trading paradigm has shifted from narrative-driven speculation to decisions based on price action, policy developments, and interest rate expectations, making a broad sentiment-driven rally unlikely in the near term.

marsbit12 год тому

After Three Consecutive Quarters of Decline, Can the Crypto Market Find a Window for Stabilization in Q3?

marsbit12 год тому

BIT Trading Moment: BTC Still Suppressed by Weekly 200 EMA, Rejection May Restart Decline; Storage and Semiconductors that Surged Last Night Begin Falling in Evening Trading

**Crypto & Stock Market Wrap: Bitcoin Tests Resistance, Stocks Retreat After AI Surge** Bitcoin consolidates around $66,000, facing key resistance near $68,000—an area seen as a major psychological and technical hurdle where previous rallies have failed. Analysts note the cryptocurrency is caught between its 200-week moving average (~$63,333) and 200-week EMA (~$68,328). A clear break above $68k is needed to signal a stronger bullish trend, while a rejection could lead to a retest of $63k support. Market sentiment remains cautious, with low futures open interest pointing to a low-liquidity rebound rather than a full bull market. Bitcoin spot ETFs saw another $203 million inflow. US stock futures pointed lower after a strong Tuesday session led by a massive rebound in semiconductors and memory stocks. The rally was fueled by renewed optimism about AI-driven hardware demand, with Micron, SanDisk, and SK Hynix surging. However, those gains reversed in pre-market trading. Super Micro Computer (SMCI) soared over 20% after hours on strong guidance and a record backlog. Other standouts included Rocket Lab and nuclear energy plays Oklo and X-Energy. Rising oil prices (Brent above $91) and climbing Treasury yields (10-year near 4.64%), however, are reigniting inflation concerns and acting as a headwind for equities. In Asia, markets were mixed. South Korea's KOSPI pared early gains to close slightly higher as semiconductor stocks like SK Hynix gave back initial surges. Japan's Nikkei edged lower as the yen hit a fresh 38-year low against the dollar, raising fears of potential market intervention. Key events to watch include the Samsung Galaxy launch, AMD's AI event, and a slew of major tech earnings from Alphabet, Tesla, and IBM after the close on Wednesday, followed by the ECB meeting and Intel's earnings on Thursday.

marsbit12 год тому

BIT Trading Moment: BTC Still Suppressed by Weekly 200 EMA, Rejection May Restart Decline; Storage and Semiconductors that Surged Last Night Begin Falling in Evening Trading

marsbit12 год тому

Former CFTC Chairman, Circle President Tarbert: Preaching Long-Termism While Cashing Out $30 Million Himself

Former CFTC Chairman and Circle President Heath Tarbert has consistently advocated for a long-term vision in public, urging patience from investors as Circle’s stock price has fallen significantly from its peak. However, it has been revealed that since Circle’s IPO, Tarbert has continuously sold his CRCL shares through pre-arranged trading plans, cashing out approximately $30 million, without making any public market purchases. This contrast between his public messaging and personal actions has drawn criticism. Tarbert joined Circle in July 2023 as Chief Legal Officer, leveraging his regulatory experience to help guide the company through its IPO and expansion. Despite promoting stablecoins as long-term infrastructure, he established a 10b5-1 trading plan just before Circle went public, leading to substantial stock sales over the following year. In March 2026, he initiated another plan to sell more shares. His career trajectory highlights a pattern of moving between high-level regulatory roles and influential positions in the financial sector. After resigning as CFTC Chairman in early 2021, he joined Citadel Securities as Chief Legal Officer just 27 days later, during a period of intense regulatory scrutiny for the firm. He later joined Circle, aiding its efforts to navigate regulatory challenges for its public listing. While Tarbert's expertise in policy and compliance is valuable to companies like Circle, his actions—advocating long-term confidence while personally divesting—raise questions about the alignment between his public statements and his private financial decisions, leaving investors who followed his advice to bear the market risks.

marsbit13 год тому

Former CFTC Chairman, Circle President Tarbert: Preaching Long-Termism While Cashing Out $30 Million Himself

marsbit13 год тому

Gate Research Institute: The 'Wall Street-ization' Wave of Crypto Financial Products – Competition or Integration?

The article titled "Gate Research Institute: Are Crypto Financial Products Sparking a 'Wall Street' Wave—Competition or Convergence?" explores the evolving relationship between the crypto ecosystem and traditional finance (TradFi). The piece begins by reflecting on Bitcoin's original 2009 vision of decentralization, disintermediation, and moving away from banks. It then contrasts this with the 2024 landscape, where key crypto assets like Bitcoin are increasingly held through Wall Street products like ETFs issued by giants like BlackRock. The article questions whether this signifies that TradFi is systematically taking over the rights to issue, price, custody, and distribute crypto financial assets. The core argument is that this is not a zero-sum takeover but rather a bidirectional convergence where each side addresses the other's weaknesses. Crypto offers 24/7 global markets, programmable settlement, and open access but lacks compliant channels, institutional-grade custody, deep fiat liquidity, and mainstream distribution. TradFi possesses these but is constrained by legacy systems, limited operating hours, and slow settlement. Two primary convergence paths are highlighted: * **Path A (CEX to TradFi):** Exemplified by Gate, which has progressed from offering tokenized stocks and CFDs to providing direct, real stock trading (US, Hong Kong, South Korea) within its platform, using USDT. * **Path B (TradFi to Crypto):** Exemplified by Robinhood, which has integrated crypto trading, acquired exchanges like Bitstamp, and is moving traditional assets like stocks onto the blockchain via tokenization and its own Layer 2. Both paths are ultimately competing to become the next-generation, unified financial account—a "super account" where users can seamlessly trade cryptocurrencies, stocks, ETFs, RWA (Real World Assets), and tokenized treasury products in one interface. The growth of RWA and tokenized treasuries (e.g., BlackRock's BUIDL) is presented as the asset-layer fusion, providing stable, yield-bearing assets on-chain and acting as a bridge between the two worlds. In conclusion, the "Wall Street-ization" of crypto is framed as a mutual transformation. Decentralized ideals persist in the protocol layer, while at the application layer, a more efficient, global, and accessible unified capital market is emerging from this convergence. The future competition lies not between crypto exchanges and stockbrokers, but between platforms vying to offer the most comprehensive asset coverage, liquidity, and user experience within a single account.

marsbit13 год тому

Gate Research Institute: The 'Wall Street-ization' Wave of Crypto Financial Products – Competition or Integration?

marsbit13 год тому

Торгівля

Спот
活动图片