Reprinted from Leifeng.com
Author: I am thinking

Introduction : Upstream and downstream compani±✔es in the robotics industry cha§∞δin have ushered in major ±<☆≥benefits, especially higher rλ♦equirements for the robot'↑♣≈s "brain".

At present, traditional robots with ∞φ"strong limbs and simpl↔βαe brains" can no ©¥φ'longer meet the needs of "m<♠αachines replacing people" ©§in thousands of industries. We are≠±Ωπ eagerly looking for♠≠αward to the turning point α¥☆of robots from single-sc€πσ₹ene automation to complex-scene intell☆✘♣→igence. The key to tφ≤ ₽raditional robots achiΩ ✔eving high-level intelligence is a mo₹§re intelligent robot "brain"δ&;. Recently, the Ministry of Indust<÷Ω♦ry and Information Techno¥♠logy issued the "Guiding ♣φ±Opinions on the Innovation↑  and Development of Hu∏σmanoid Robots" (σ±β×hereinafter referred to σ•as the "Guiding Opinions"),♠♦ which has brought signifi≥☆©εcant benefits to upstream and dγ☆"ownstream companies in the robot&  industry chain, especially putting foφ•φrward higher requirements for the devel<∞∑opment of the robot "brain"Ωα.

1. Industry backgroun≠€πd and enterprise rise

In this context, Shenzhen Ruoyu T©πechnology Co., Ltd. (her ★₹'einafter referred to as &quΩ✔ot;Ruoyu Technology"), a &®multimodal large mod♥♥£ el R&D company founded by Har↑₽φ₽bin Institute of Techno ∑‍≠logy (Shenzhen) (hereinafter refer←​ red to as "HIT-Sh≠≠enzhen"), has attracted widespreaσπd attention from the₹$☆ industry with its outstanding teπ✔¶≤chnical strength and "♥☆↓forward-looking market insight. Ruoyu T←>echnology and HIT-Shenzhen≤δ↓ jointly established an artificial i✔βγβntelligence joint laboratory, forminπελg a multi-level, multidiscip✘∏linary research team led by top e ' ₹xperts, with in-depth∑φ research and understanding in the fie δβ♦lds of multimodal large models, natur‍φ★al language processing, embodied intel₽πligence, and large model   quantization and comprα₩ession.

The team is incubated by Sh±±∑enzhen Ha Shen Asset Mana∏‌✘σgement Co., Ltd. andφ©ε enjoys the school's policy suppor♦>↕γt and resource guarantee. Robotics​♠§σ has always been a d∏ $ominant discipline of H‌∑±arbin Institute of Technology. The scho"$ol's shareholding team provi←πdes a stable source of funds and ¶± abundant upstream and downs£¥↓βtream resources for the team'↑®;s development. The team's reliableΩ‌→ background also provides confide÷π nce and guarantee for partner♥♦£©s.

2. The best choice for t‍δ↓he robot’s “brain”

Faced with opportunities≈♠ and challenges, Ruoyu Technology be∑♠​€lieves that using the robot's &quoβεt;brain" as a landing carrier is t© ♠£he "best choice&quo≠δ£♥t; for AI companies based on t±↕he new generation of multim$<→odal large model techδ∑nology. Multimodal large model tec​ hnology will promote the rapid ★↑upgrade of the robot's ₹> "brain", and its evolutio¥≥n speed will far exceed that of th∏✔•$e robot itself. It may surpass♥∑ε the technical maturity point and ΩΩenter the stage of large-s §♥÷cale industrial landing in the next 2 ÷€ δto 3 years.

At present, the developmen≥>t of artificial intelligence tech¥₹nology is facing the ch∞☆γ↔allenge of a large number of cr§♠•oss-modal tasks. "Multi-mod<£←al pre-trained large m"σ>odels will become the ♣∑$infrastructure of artifi<β<>cial intelligence", this •♥↔view has become a consenλ¥sus in the industry. The₩> large models on the ‌♠☆✘market focus on improving ≥€multi-modal and multi∏¥-task capabilities, which is★÷₽ also an important measure of the &quo™✘t;score" of the robot's &quo♠☆™t;brain" in practicaφλ§l applications.

3. R&D Strength of Ruoyu ♣γ©Technology

In response to the many problems f♥¶acing the in-depth dev'✔π£elopment of the current robo★≠★♣tics industry, Ruoyu Technology and Har∞♦♣bin Institute of Techno'≠‍<logy jointly developed a language♠≠•£ large model and a multimodal l®¶arge model with completely indepen∑Ω"$dent intellectual property rights, ma©✔stered the technology of autonomo≈≥us training of language large ®✔models and multimodal large mo★↔dels from 0 to 1, and obtained certi₽♥✔✘fication from the Ministr€‍λy of Industry and Information Technoα♦logy. Among them, &quoΩ✔>₹t;Ruoyu-Jiutian" toppe↓₹₽d the OpenCompass multimodal large mode α↔✔l list for several consec★εutive months in its first pa×&rticipation in the evaluation, demo∞£ αnstrating the strong R& ♦♣↔;D capabilities of Ruoyu Te‍×±εchnology.

The robot's "brain&q​§↑←uot; based on the "Ruoyu-Jiutian&¶π quot; model demonstrates outstand₽✔‍↔ing "intelligent" capabili±↕®•ties in multiple fields. Whether it γ&is logical reasoning, relationλ×€al reasoning, or perception, &quo♦©≈t;Ruoyu-Jiutian" can accurε‌§§ately understand and$™ ≈ respond to user needs, and eve←±€n exceed user expectations.

4. The driving role of mult×✘✘←imodal large model technolog₹¥y

Just as the "fi±ελve senses" of hum §≥♣an beings are interconn♠→δ&ected and closely cooperate to form Ω★people's cognitive exp↑¥>erience of the world, artificial •★intelligence is also developing in a si↓'‌εmilar direction. The boundaries betwλ≈↔ een different data type₩∑←s (modalities) such as text, language,φ₹ and images are gradually b≈♦ecoming blurred. With the rapid dπ±δ±evelopment of AI's perception, in ∑teraction, and generatiε↓Ωon capabilities, multimodal large mode<↕l technology will promo§  εte the rapid upgrade of the δ€≤→robot's "brain".

Multimodal large model →♣technology can utili>'ze massive multimedia data to achie♣πve in-depth understandinφ‌g and generation of informat©¥≤$ion in different modaliti→∑↓es, thereby improving the §ββ♠robot's cognitive and creat↕>✘ive abilities. It can utilize methods ♥→₩∑such as reinforcement l&β∏earning and meta-learning to±₽ achieve rapid adaptationφλ and optimization to ×↓βdifferent scenarios and tas₽ ✔ks, thereby improving the robot&§​∞♥#39;s decision-making★☆β and execution capabilitie∑♠s. It can also utilize technologieσ‌s such as dialogue systems≥≤★ and sentiment analysis to achieve unde÷¥ rstanding and response t¶♣≈₹o human language and•λ× emotions, thereby improvi¶☆"δng the robot's comβ&©πmunication and empathy ©   abilities.

5. Future prospects δ®↔of robot “brains”

The speed of evolution of the rγ ☆obot's "brain&qu>φot; mainly depends on the development s₹∏φ peed of large-scale model te↑ §chnology, which in turn is determined b>‍y the growth rate of comp ✔ε♠uting power and data volume. At≈ε≈₹ present, both of these areλβ&ε showing an accelerating ≠β←₽trend, which is drivin♣™✔g the acceleration of the evol≥€ution of the robot's &quo®' ​t;brain".

Ruoyu Technology predicts th✘σ¥πat the maturity of rφ≥§ obot "brain" technology wλ∞ill be achieved in the nε•♥×ext 2 to 3 years, thus entering the st∏♣"★age of large-scale industrial imple↑λ≈₹mentation. By then, robots wilφλ'l play an important role ©‌¥in many fields and scenarioε s such as manufacturing and peopl✘‌×e's livelihood.

VI. Conclusion

The new generation of embodied intellig★ ent robots will surely beco§'§✘me an important developmen£∞ βt direction in the field of ≠→✘¶artificial intelligence. The is∏ πsuance of the "Guidπ¥¥ing Opinions" provides ∏∞♠policy guidance, technical supp≥₽&§ort, market space and other g$₽uarantees for the development of t↑×∏he humanoid robot industry, which will >π₽help promote the large-sca•♠★le, high-quality and sustainable≥♦‍ development of the entire robot indus↕λ✔&try.

In the future, Ruoyu Tec&™∑​hnology will actively respond to poλλlicy calls, strengthen tech₹♠₽εnological innovation a★≤←nd product development, and exπ★<pand the applicationγδΩ scenarios and market space of <​¶robots. It will empower the entire iγ₩ndustry with the robot's®φ♥λ "brain" as the entry ≠ ∞point, and at the same ≈¥α≈time, it looks forward t≥ o exploring the developme>♠λnt possibilities and po↕​♣tential value of robots with more par≤®δ₹tners, providing new impetus a™₽α<nd new choices for the progres↕←s and development of ∞↓∏"human society.

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