Vancouver, BC, Oct. 09, 2025 (GLOBE NEWSWIRE) -- Humanoid Global Holdings Corp. (“Humanoid Global” or the “Company”) (CSE:ROBO, FWB:0XM1, OTCQB:RBOHF), a publicly traded investment issuer focused on building and accelerating a portfolio of pioneering companies in the humanoid robotics and embodied AI sector, is pleased to announce that it has entered into a Memorandum of Understanding (“MOU”) with Torus Talent Consultants LTD (“Torus Talent”). Founded in 2020, Torus Talent is a Vancouver-based recruitment a ...

September 29, 2025 04:01 AM GMT Metals & Mining | North America Key Takeaways from Rare Earths Conference Discussions at Adamas Intelligence conference focused on price bifurcation & price floor guarantees from Western governments to shore up critical supply chains ahead of expected demand from technologies of the future like humanoids & robotics given the implications for national and economic security. Price Bifurcation likely here to stay… As we had noted earlier this year (here), the US laid the groundw ...

Group 1 - Deutsche Bank raised its price target on Tesla to $435 from $345 while maintaining a Buy rating, driven by stronger-than-expected third-quarter deliveries and improved investor sentiment due to CEO Elon Musk's focus on key initiatives [1] - Tesla is expected to benefit from its leadership in embodied AI, with Musk prioritizing the robotaxi and Optimus projects [2] - Analysts forecast third-quarter deliveries of 461,500 units, exceeding the consensus of 433,000, supported by the launch of the Model Y L in China and U.S. pre-buy demand ahead of expiring EV incentives [2] Group 2 - The forecast indicates flat year-on-year growth but a 20% sequential increase, with 20% gains in China and North America offsetting declines in Europe [3] - Full-year deliveries of 1.6 million units are still considered achievable [3] - Deutsche Bank projects fourth-quarter deliveries of approximately 409,000 units and anticipates margin pressure from lower volumes and tariff costs, leading to an EPS of $1.53, below the current consensus of $1.74 [3]

Core Insights - Morgan Stanley analysts estimate that fashion brands and retailers could achieve $6 billion in total cost savings by 2026, translating to a 20% increase in earnings before interest and taxes [2][6] - The application of AI in retail is expected to automate various tasks, leading to significant cost reductions and changes in job roles [3][7] Group 1: Cost Savings and Automation Potential - The report indicates that 18% of a retail salesperson's job could be automated, resulting in approximately $7,000 in annual cost savings per salesperson [4] - Other retail jobs also show high potential for automation, including office supervisors (44%), security guards (31%), and customer service representatives (25%) [5] - Lululemon Athletica could see potential savings of $14,300 per employee, totaling $560 million annually, with a projected $270 million in cost savings next year [6] Group 2: Industry Adaptation and AI Integration - Fashion companies are cautiously exploring AI, focusing on enhancing business models rather than merely replacing human workers [7] - Ralph Lauren Corp. has introduced an AI-based styling feature, indicating a proactive approach to integrating technology [8] - Companies like Gap, Macy's, and Victoria's Secret are highlighted for their potential to boost profits through AI adoption [9] Group 3: Areas of AI Implementation - AI is primarily being utilized in inventory management, supply chain automation, demand planning, and customer service [10][11] - The report notes that many AI initiatives are still in early stages, suggesting a transformative potential for consumer shopping experiences [11][12] - The study emphasizes the impact of agentic AI, which automates systematic processes and makes decisions, alongside embodied AI that interacts with physical systems [12]

Summary of Key Points from the Conference Call Industry and Company Involved - **Company**: Tesla Inc (TSLA) - **Industry**: Automotive and AI Robotics Core Insights and Arguments 1. **Vision Data Importance**: The development of Vision Language Action (VLA) models for AI robots is heavily reliant on high-quality vision data, which is becoming increasingly sought after by developers in the AI and robotics sectors [1][2][4] 2. **Shift to Vision-Only Training**: Tesla is reportedly moving towards a 'vision-only' approach for training its Optimus robot, transitioning from teleoperators to using videos of human tasks as training data [2][4] 3. **Market Value of Vision Data**: The analogy of catching a bluefin tuna illustrates that without the means to capture and process visual data, its value is effectively zero. However, with the right technology, the potential value of this data increases significantly [2] 4. **Partnerships for Data Collection**: Brookfield Corporation is collaborating with Figure AI to gather extensive training data for humanoid robots, leveraging its vast real estate portfolio [7] 5. **Meta's Role in Data Collection**: Meta's wearable technology, particularly glasses with ultra-high-definition cameras, is positioned as a tool for capturing real-world data, which could be used to train AI models [8] Additional Important Content 1. **Tesla's Financial Metrics**: As of September 19, 2025, Tesla's stock price was $426.07, with a market cap of approximately $1.5 trillion. The projected EPS for the fiscal year ending December 2026 is $2.69 [4] 2. **Investment Ratings**: Morgan Stanley has rated Tesla as "Overweight" with a price target of $410, indicating a positive outlook on the stock's performance relative to its peers [4] 3. **Future of AI Robotics**: The integration of AI in robotics is expected to disrupt various sectors, with companies like Tesla and Meta leading the charge in data collection and model training [2][8] 4. **Risks and Challenges**: Potential risks for Tesla include competition from legacy OEMs and execution risks related to factory ramp-ups and new model introductions [24] This summary encapsulates the key points discussed in the conference call, highlighting the strategic direction of Tesla and the broader implications for the automotive and AI robotics industries.

Summary of Key Points from the Conference Call Industry Overview - The conference call primarily discusses the **Humanoid Robotics** industry, with a focus on the **Humanoid 100** list established by Morgan Stanley, which includes companies involved in humanoid robotics and related technologies [1][2][4]. Performance Metrics - The **Humanoid 100** list has increased by **25%** since its inception on **February 6, 2025**, outperforming the **S&P 500** (+9%) and **MSCI China** (+29%) [1][2]. - Over the past **3 months**, the Humanoid 100 has risen by **23%**, driven largely by performance in **China** and **rare earths** [2][3]. - China-based constituents of the Humanoid 100 have appreciated by **40%** in the last 3 months, compared to **21%** for the MSCI China index [3][4]. Key Contributors - The top contributors to the Humanoid 100's performance include rare earth companies such as **MP Materials** (+174%), **Lynas Rare Earths** (+118%), **Northern Rare Earths** (+114%), and **JL Mag** (+113%) since their addition to the list [3][5][21]. - Notably, **14 out of the top 20 performing stocks** in the Humanoid 100 are based in China, highlighting the region's dominance in this sector [3]. Events and Developments - The **World Robot Conference** and the **World Humanoid Robot Games** held in Beijing in August 2025 showcased significant advancements in humanoid robotics, indicating China's commitment to becoming a leader in this field [4]. - The events featured over **200 global robotics companies** and **500+ humanoid robots**, emphasizing the rapid progress in autonomous humanoid robot development [4]. Tesla Inc Insights - **Tesla Inc** is viewed as an "anchor tenant" in the Humanoid 100, with expectations for significant milestones and commercial developments following a proposed **$1 trillion** long-term incentive plan for CEO **Elon Musk** [9]. - Tesla's stock performance is increasingly linked to the broader **physical AI/humanoid theme**, as the company diversifies beyond its core automotive business [9]. Market Capitalization and Stock Ratings - As of September 17, 2025, Tesla's market capitalization stands at **$1,498.6 billion**, with a stock price of **$425.86** and a price target of **$410.00** [6]. - The company is rated as **Overweight** by Morgan Stanley, indicating a positive outlook on its stock performance [6]. Additional Insights - The Humanoid 100 list is dynamic and will continue to evolve with industry developments, reflecting Morgan Stanley's views on companies most exposed to the AI-enabled robotics theme [10]. - The performance of the Humanoid 100 is a clear indication of local investors' excitement for the theme and China's competitive edge in the global market for embodied AI [4]. Conclusion - The Humanoid Robotics industry is experiencing significant growth, particularly in China, with key players like Tesla positioned to benefit from this trend. The recent events in Beijing have further solidified China's commitment to leading in this innovative sector, while the performance metrics of the Humanoid 100 reflect a robust investment opportunity in the coming years [4][9].

Summary of Conference Call Notes on Greater China Industrials (Humanoid Robots and Autonomous Driving) Industry Overview - The humanoid robot and autonomous driving (AD) sectors in China are expected to experience rapid expansion over the next decade, with significant growth anticipated in factory settings within 2-3 years and further opportunities in commercial and household applications in the long term [1][1] - The current bill of materials (BOM) cost for a fully-functional humanoid robot is approximately US$50-60k, with expectations for rapid cost reductions in the next five years due to improved product design and economies of scale [1][1] - Stricter regulations in the AD sector are anticipated to create more opportunities for AD components, particularly for LiDAR technology, which will benefit from new long-distance object detection requirements [1][1] Key Players and Developments Dobot - Dobot is a leading global collaborative robot (COBOT) brand, achieving a 47% year-over-year growth in 6-axis COBOT sales in the first half of 2025, indicating market share gains [8][8] - The company has entered the humanoid robot market, launching its first prototype in early 2025 and planning deployment in manufacturing and business scenarios [9][9] RoboSense - RoboSense is focusing on its new EMX LiDAR products, which offer superior precision and detection distance compared to competitors, with expectations to ship 600-700k units in 2025 and 1.5 million units in 2026 [10][10] - The company is also exploring opportunities in the lawn mower, unmanned delivery, and robotaxi industries, with significant partnerships established [11][11] Zhaowei Machinery & Electronics - Zhaowei has launched new dexterous hand models for humanoid robots and aims for a 10-15% global market share in this segment [12][12][13][13] - The BOM cost of the dexterous hand is estimated to account for 20-30% of the total BOM cost of a humanoid robot [13][13] Googol Technology - Googol Technology specializes in high-end control systems for advanced manufacturing and sees strong growth potential in humanoid robots due to its expertise in multi-degree-of-freedom (DoF) controlling [14][15] Minieye - Minieye is making progress with its smart driving solutions, including iPilot and iRobo, and anticipates significant growth in the penetration of front-view camera modules and driver monitoring systems due to new safety regulations [16][17] Leju Robotics - Leju targets to deliver over 1,000 units of robotics in 2025, focusing on stability and durability for large-scale applications [18][18] Orbbec - Orbbec is a leading player in robot vision systems, holding over 70% market share in 3D vision systems for service robots in China [21][21][22][22] UBTECH - UBTECH aims to ship 500 humanoid robots in 2025 and 2,000-3,000 units in 2026, with expectations for BOM cost reductions in the coming years [23][23][24][24] LK Tech - LK Tech is focusing on magnesium alloy technology for humanoid robots, which offers lightweighting and other advantages, and has signed cooperation agreements for R&D projects [25][26][26] Technology Insights - The competition between VLA (Vision-Language-Action) and world model technologies for embodied AI is highlighted, with data availability being a key bottleneck [3][3] - The vision system of humanoid robots is evolving, with depth cameras becoming the mainstream choice for enhancing sensing and navigation capabilities [22][22] Market Outlook - The humanoid robot market is expected to grow significantly, with projections of 3 million units shipped by 2030, leading to substantial opportunities for component suppliers [13][13] - The average selling price (ASP) of humanoid robots is expected to decline to approximately RMB150k (~US$20k) by 2026-2028 due to scale effects [20][20] Conclusion - The humanoid robot and AD sectors in Greater China are poised for significant growth, driven by technological advancements, regulatory changes, and increasing market demand. Key players are actively innovating and expanding their product offerings to capture market share in this rapidly evolving landscape.

Core Insights - Circus SE has successfully deployed its first CA-1 AI robot at Meta's Munich office, marking a significant milestone in autonomous nutrition systems [1][7] - The integration of Circus' AI solutions with Meta's foundational AI models aims to enhance user interaction and automate processes, showcasing the potential of embodied AI in service sectors [2][3] Company Developments - The CA-1 robot is the world's first fully autonomous food production robot, now in serial production, demonstrating Circus SE's capability to industrialize breakthrough AI-robotics technology [6][8] - Following the deployment at Meta, Circus SE plans to roll out its technology with retail clients, including REWE, starting in October [5] Strategic Partnerships - Circus SE has entered into a strategic partnership with Secura, a provider of corporate facility management solutions, to extend autonomous meal solutions powered by Circus AI-robotics technology [9]

Core Insights - The article discusses the challenges in enabling robots to understand and execute complex navigation commands in real-world environments, emphasizing the need for improved reasoning, path planning, and action execution capabilities [2][4]. Group 1: Key Innovations - The paper introduces a new foundational model called Nav-R1, which integrates perception, reasoning, and action in 3D environments, enhancing the robot's ability to think clearly before acting [5]. - A large dataset, Nav-CoT-110K, consisting of approximately 110,000 Chain-of-Thought trajectories, is constructed to facilitate cold-start training, allowing the model to learn reasoning and action decision-making before reinforcement learning optimization [8]. - Nav-R1 employs three complementary reward mechanisms during reinforcement learning: Format Reward, Understanding Reward, and Navigation Reward, which collectively enhance the model's logical behavior and alignment with human expectations [9][13]. Group 2: Experimental Results - Nav-R1 demonstrates significant improvements in success rates and path efficiency across various navigation tasks, achieving approximately an 8% increase compared to other advanced methods [14]. - In real-world experiments, Nav-R1 was tested on a mobile robot platform, showing robust performance in navigating complex indoor environments such as meeting rooms and corridors [18][23]. Group 3: Practical Applications - The capabilities of Nav-R1 suggest potential applications in service robots and home assistants, where understanding and navigating cluttered environments is crucial for user experience [29]. - In healthcare settings, Nav-R1 can enhance the navigation of robots in hospitals and nursing homes, ensuring safe and reliable operation in complex environments [30]. - The model's reasoning and control capabilities are also applicable in augmented reality (AR) and virtual reality (VR) scenarios, where virtual agents need to navigate physical spaces [31]. - In industrial and hazardous environments, Nav-R1's robustness and generalization abilities make it suitable for tasks in factories, mines, and disaster sites [32].

Core Insights - X Square Robot, a Shenzhen-based humanoid startup, has secured approximately $100 million in funding led by Alibaba Group, bringing its total funding to around $280 million since its launch in December 2023 [1][2] Funding and Investment - The latest funding round included participation from HongShan, Meituan, Legend Star, Legend Capital, and INCE Capital [2] - The company has completed eight funding rounds in less than two years, reflecting a trend of significant venture capital investment in humanoid robotics [3] Revenue Generation - X Square Robot is already generating revenue from sales to educational institutions, hospitality venues, and senior care facilities [2] Technological Development - The company announced WALL-OSS, an end-to-end embodied foundation model focusing on vision-language-action alignment for manipulation tasks [5] - The Quanta X2 robot was unveiled, featuring 360-degree cleaning capabilities and advanced hands for perceiving subtle pressure changes, marking a significant step toward human-like functionality in commercial robotics [6] Market Position and Pricing - The humanoid robots from X Square carry a price tag of $80,000, while competitor Unitree offers a model for $16,000, though the capabilities of the latter remain unclear [7] - X Square Robot does not yet have a product ready for mass market delivery, with pricing determined by individual use cases [7]