Industry Briefing
A single destination for timely, editor-curated robotics news from around the world.
Mind With Heart Robotics Introduces AnAn Panda Robot in European Market
Mind With Heart Robotics has officially launched its AnAn panda companion robot in Europe, with sales set to commence this month at prices ranging from $1,000 to $1,500. The company has completed an initial production run of 100 units and has signed distributor agreements in Germany and Belgium, marking a significant step in its international expansion. The AnAn robot is designed to provide companionship and support for the elderly, featuring full-body tactile sensing, proactive interaction, reminders, and long-term memory capabilities. This lifelike robot made its European debut at IFA Berlin on September 5, 2026, and was previously recognized as a CES 2026 Innovation Awards Honoree in the Artificial Intelligence category. Looking ahead, Mind With Heart Robotics plans to expand its offerings in Europe by introducing its Duncan Series companion robots aimed at both neurodivergent and typically developing children. The company is actively seeking channel partners across the region to enhance its market presence and support for European customers.
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Google DeepMind Launches Gemini Robotics 2: A Comprehensive Robot with Advanced Capabilities
On August 2, Google DeepMind introduced Gemini Robotics 2, the latest version of its visual-language-action model. This new model enhances full-body control, advanced dexterity, and multi-robot collaboration, marking a significant advancement from its predecessor, which only managed upper-body tasks. Gemini Robotics 2 allows the Apptronik Apollo 2 humanoid robot to autonomously execute complex tasks, such as placing a watering can into a designated bucket, requiring coordinated decision-making and balance. While there is room for improvement in movement speed, this development represents a crucial step towards handling more intricate real-world tasks. The model also introduces multi-robot collaboration, enabling different robots to communicate and work together on complex workflows. With the ASIMOV-Agentic benchmark, Gemini Robotics 2 excels in safety compliance and human proximity detection, ensuring safe operation. The Gemini Robotics On-Device 2 is designed for applications requiring offline functionality, adapting to new robotic forms with minimal data and time.
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Google DeepMind Introduces Gemini Robotics 2 for Enhanced Humanoid Control
Google DeepMind recently launched Gemini Robotics 2, an advanced version of its vision-language-action model. This iteration features intelligent whole-body control, enabling robots to perform complex tasks such as walking, crouching, and object manipulation. The model can adapt to new robotic bodies quickly, enhancing its versatility. The significance of Gemini Robotics 2 lies in its ability to expand physical AI capabilities, allowing robots to execute intricate movements and collaborate with other robots. This development is crucial for achieving the finesse required for real-world applications, such as household chores and workplace tasks. Looking ahead, the focus will be on further improving movement speed and dexterity. Gemini Robotics 2 represents a pivotal advancement in robotics, as it can control sophisticated end effectors like the SharpaWave hand, enabling delicate actions. No further timeline was disclosed at the time of publication.
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Introducing Google DeepMind's Gemini Robotics 2: A Leap in Robot Adaptability
Google DeepMind has unveiled Gemini Robotics 2, marking a significant advancement in robotics. This new intelligence layer enables robots to achieve whole-body control, enhanced dexterity, and collaborative capabilities among multiple robots. The introduction of Gemini Robotics 2 is crucial as it represents a step towards creating truly adaptable robots that can perform complex tasks in dynamic environments. This technology could revolutionize various applications, from industrial automation to personal assistance. Looking ahead, the development of Gemini Robotics 2 will be closely monitored as it progresses. The potential for multi-robot collaboration and advanced dexterity opens up new possibilities in robotics, making it a key area of interest for future innovations.
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Google DeepMind Unveils Gemini Robotics 2 AI Model for Humanoid Robots
On July 30, 2026, Google DeepMind announced the latest AI model for humanoid robots, Gemini Robotics 2. This model advances from upper-body control to full-body control, enabling walking, bending, and advanced dexterity, as well as collaborative tasks among multiple robots. Gemini Robotics 2 translates visual and language inputs into motion control, supporting full-body and dual-arm robot operations. It features enhanced physical reasoning capabilities with Gemini Robotics ER 2, which manages human communication and multi-step task planning, and Gemini Robotics On-Device 2, which adapts quickly to new robots with minimal data. The model demonstrated its capabilities using Apptronik's humanoid robot Apollo 2, performing tasks such as walking to a table, lifting objects, and accurately storing them. With a 22-degree-of-freedom hand, it can execute delicate tasks like tying knots. The introduction of the ASIMOV-Agentic benchmark emphasizes safety, allowing the robot to detect human presence and stop safely, marking it as the safest model to date.
Google DeepMind Launches Gemini Robotics 2 for Enhanced Autonomy in Humanoid Robots
Google DeepMind has introduced Gemini Robotics 2, a suite of AI models aimed at enhancing the autonomy of humanoid and other robots through advanced whole-body control and dexterity. This system is currently showcased on Apptronik's Apollo 2 humanoid robot, which can execute full-body autonomous movements such as walking and manipulating objects while reasoning through complex tasks in real time. The significance of this development lies in its ability to enable robots to move beyond pre-programmed tasks, adapting to dynamic environments. Gemini Robotics 2 serves as an 'intelligence layer' for robots, facilitating coordination from 'feet to fingertips' and improving dexterity with tasks like tying trash bags or unscrewing light bulbs. This advancement builds on the collaboration between Google DeepMind and Apptronik, which recently launched Robot Park to gather data for training future AI models. Looking ahead, the introduction of multi-robot collaboration capabilities allows different robot types to work together on complex workflows. Gemini Robotics On-Device 2 is designed for industrial settings with limited cloud connectivity, enabling rapid adaptation to new hardware. No further timeline was disclosed at the time of publication.
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Trossen Robotics Collaborates with Stereolabs to Enhance Physical AI Data Collection
Trossen Robotics has announced a partnership with Stereolabs to integrate high-fidelity stereo vision into its Physical AI platforms. The collaboration features the Stereolabs ZED X Mini scene camera and dual ZED X Nano wrist cameras, providing synchronized, training-grade visual data for robot-learning teams. This integration is significant as it enhances Trossen's offerings in the Physical AI sector, allowing for improved data collection and analysis. The inclusion of advanced stereo cameras is expected to elevate the capabilities of Trossen's hardware suite, which includes the Trossen Workbench and Rivet platforms designed for bimanual manipulation. Looking ahead, the collaboration aims to streamline the development of robot learning applications by providing robust visual data. No further timeline was disclosed at the time of publication.
Reimagine Robotics Emerges with AI Robots That Learn from Human Workers
Reimagine Robotics, an AI robotics startup founded by former leaders of Google DeepMind’s Applied Robotics team, has launched its innovative technology that enables robots to learn from human workers on the job. This approach allows employees to train robots directly by demonstrating tasks, correcting mistakes in real-time, and facilitating a more intuitive learning process. The significance of this development lies in its potential to transform industrial and manufacturing environments. According to co-founder and CEO Jonathan Scholz, the technology addresses the need for adaptable robots that can integrate seamlessly into existing workflows without requiring specialized programming for every task change. This capability is expected to enhance efficiency and reliability in various applications. Looking ahead, Reimagine Robotics plans to expand its operations through a new round of fundraising and team growth. The company is already deploying its robots in advanced manufacturing and electronics disassembly facilities, with successful implementations in tasks such as tending 3D printers and automating additional production stages. No further timeline was disclosed at the time of publication.
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Google DeepMind Unveils Gemini Robotics 2 for Full-Body Control of Humanoid Robots
Google DeepMind has announced the launch of Gemini Robotics 2, an advanced AI model capable of controlling humanoid robots from 'feet to fingertips.' This new version enhances the robot's ability to perform a variety of actions, including walking, crouching, and manipulating objects, significantly expanding its functional capabilities. The importance of this development lies in its potential to enable humanoid robots to undertake more complex, real-world tasks that require whole-body coordination. With improved dexterity, Gemini Robotics 2 allows robots to perform intricate tasks such as sealing bags and unscrewing lightbulbs, marking a significant advancement in robotic manipulation. Looking ahead, Google DeepMind is also enhancing its Gemini Robotics ER model, which aids robots in analyzing their environment and executing multi-step tasks. This update aims to improve collaboration among different types of robots, enhancing safety features and operational efficiency. No further timeline was disclosed at the time of publication.
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Qianjue Robotics Launches X-TouchMind V1 and TacVerse 1k for Enhanced Robot Interaction
On July 16, Qianjue Robotics unveiled its first embodied tactile model, X-TouchMind V1, alongside the TacVerse 1k multimodal dataset. This development addresses the limitations of traditional visual models in robotic operations, particularly in precision assembly and handling delicate objects, where failures often occur after contact. The new model integrates visual, linguistic, tactile, and robotic state data to enhance physical interaction capabilities. The significance of this release lies in Qianjue's comprehensive approach, which encompasses tactile perception hardware, self-developed multimodal data collection devices, and the new tactile model. Unlike previous attempts that merely supplemented tactile signals to visual data, the VTLA embodied tactile model establishes a closed-loop system that fundamentally redefines the perception boundaries of robotic models. This innovation allows robots to understand and respond to physical interactions more effectively. Looking ahead, Qianjue Robotics will demonstrate the capabilities of the VTLA model at the WAIC 2026 exhibition, showcasing real-world applications such as autonomous box stacking and precise assembly of headphones. The focus will be on how the model can dynamically adjust actions based on tactile feedback, marking a significant advancement in robotic interaction technology. No further timeline was disclosed at the time of publication.
Tactile Intelligence Robotic Interaction Precision Assembly Multimodal Data AI Robotics
Actuate 26 Robotics Developer Conference Reveals Speaker Lineup with Industry Leaders
Foxglove has announced the speaker lineup for Actuate 26, its annual robotics developer conference, featuring leaders from Wayve, Aurora, Physical Intelligence, and more. The event will take place on August 18-19, 2026, at Fort Mason in San Francisco, showcasing technical talks, keynotes, and hands-on programming. This conference is significant as it aims to gather over 1,000 attendees from various sectors deploying robots, including autonomous vehicles, drones, and industrial automation. The participation of industry leaders highlights the growing interest and advancements in robotics and AI technologies. As the event approaches, attendees should look forward to insights from top experts in the field and opportunities for networking and collaboration. No further timeline was disclosed at the time of publication.
NVIDIA and DeepMind Lead Robotics Simulation Debate with New Industrial Applications
The field of embodied intelligence is witnessing a fierce debate over the best approach to training robots for industrial applications. One faction advocates for simulation-based training, leveraging structured environments to generate synthetic data, while the opposing view emphasizes the necessity of real-world data to handle complex physical interactions and unpredictable scenarios. Key players include NVIDIA, DeepMind, and Intrinsic, each with unique strategies and technologies. NVIDIA's Omniverse platform and Isaac Sim engine exemplify the simulation approach, enabling comprehensive digital twins of factories for training and optimization. Their collaboration with BMW on a digital twin project in Hungary showcases the potential of synthetic data in logistics and robotic movements. However, challenges remain in achieving the necessary fidelity for force control and physical interactions, prompting NVIDIA to seek partnerships with companies like Hexagon Robotics. Conversely, DeepMind's use of the MuJoCo physics engine has demonstrated that pure simulation can achieve industrial-grade precision in specific tasks, such as sorting with known rigid models. Yet, this method's effectiveness is limited to scenarios with minimal contact and force control. Intrinsic aims to transform simulation into a comprehensive development tool for industrial robots, focusing on lowering barriers for small manufacturers. The ongoing challenge of the SIM2REAL gap remains a critical factor in the success of these approaches.
Robotics Industrial Automation Simulation Technology AI
Mech-Mind Robotics Advances Towards Hong Kong IPO with Major Share Offering
Mech-Mind Robotics has officially passed the listing hearing with the Hong Kong Stock Exchange and published its post-hearing prospectus. The company plans to issue up to 27,479,850 overseas listed shares, with 89,924,180 domestic unlisted shares converting to H-shares. The co-sponsors are CITIC Securities and CITIC International. Founded by Tianlan Shao, who has a background in software from Tsinghua University and a master's in robotics from the Technical University of Munich, Mech-Mind has gained recognition in the industry. The team includes experts from top institutions like Tsinghua University and MIT, focusing on AI and 3D vision solutions for robotics, with over 27,000 units deployed globally. The prospectus reveals significant financial growth, with projected revenue increasing from 180.8 million yuan in 2023 to 388.8 million yuan by 2025, reflecting a compound annual growth rate of 46.6%. The company aims to initiate its Hong Kong IPO roadshow soon, marking a significant step in its expansion strategy.
Embodied Intelligence AI Robotics 3D Vision Solutions IPO Market Growth
LUMOS Robotics Offers 100 NIX Robots for Global Co-Creation After Mind-Blowing Street Dance Showcase
A startup has unveiled its upgraded NIX robots, which now feature enhanced dance, flipping, and dynamic motion capabilities. This development marks a significant advancement in robotic technology, showcasing the potential for more expressive and versatile machines. The company plans to distribute 100 of these advanced robots to selected global partners, allowing them to explore various applications and integrations. Additionally, the startup will provide access to a software development kit (SDK) for these partners, facilitating further innovation and customization. This initiative aims to expand the use of robotics in entertainment and other industries, highlighting the growing intersection of technology and creativity.
Mind Robotics raises $400M to scale AI-powered robots in manufacturing
Mind Robotics has achieved 'unicorn' status following a significant funding round, raising $400 million to enhance its development of AI-powered robots for the manufacturing sector. This milestone comes as the company partners with electric vehicle manufacturer Rivian to implement its innovative physical AI solutions. The investment will enable Mind Robotics to expand its operations and accelerate the integration of advanced robotics in manufacturing processes, addressing the growing demand for automation in the industry. This strategic collaboration and funding are pivotal for Mind Robotics as it aims to revolutionize manufacturing efficiency and productivity through cutting-edge technology.
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Mind Robotics Announces $400M in New Funding to Expand Industrial Robotics Deployment
Kleiner Perkins has taken the lead in a new financing round for Mind Robotics, a company focused on deploying AI-powered robots in live manufacturing settings. This investment aims to enhance the scalability of Mind Robotics' innovative technologies, which are designed to improve efficiency and productivity in manufacturing processes. The funding comes at a time when the demand for automation in various industries is rapidly increasing, driven by the need for greater operational efficiency and cost reduction. With this financial backing, Mind Robotics plans to accelerate the development and implementation of its robotic solutions, positioning itself as a key player in the evolving landscape of automated manufacturing.
Rivian spinoff Mind Robotics raises another $400M
Mind Robotics, a company that emerged in late 2025, has successfully secured over $1 billion in funding to date. This significant financial milestone underscores the growing interest and investment in robotics technology, reflecting the industry's potential for innovation and development. The funding will likely be utilized to advance their research and development efforts, enhance product offerings, and expand market reach. As the robotics sector continues to evolve, Mind Robotics is positioning itself as a key player, attracting attention from investors eager to capitalize on the future of automation and intelligent systems.
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Google DeepMind Unveils Gemini Robotics-ER 1.6: A Leap in Spatial Reasoning and Industrial Utility
DeepMind has unveiled its latest and most sophisticated embodied reasoning model, which incorporates a cutting-edge "agentic vision" system designed specifically for industrial inspections. This new technology aims to improve the accuracy and efficiency of multi-view success detection in various industrial applications. The launch, which took place recently, marks a significant advancement in artificial intelligence capabilities, reflecting DeepMind's commitment to enhancing operational processes across industries. By leveraging advanced machine learning techniques, the model is expected to streamline inspection workflows and reduce the likelihood of errors, ultimately driving productivity and safety in industrial environments.
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Google DeepMind and Agile Robotics Combine Robotics Platforms
Google DeepMind has announced a new partnership aimed at enhancing its artificial intelligence models and advancing the field of industrial robotics. The collaboration will center on gathering data from real-world robotic operations, which is expected to provide valuable insights for improving the performance and capabilities of robotic systems. This initiative comes as part of DeepMind's ongoing efforts to leverage practical applications of AI technology in various sectors. The partnership is set to play a crucial role in driving innovation and efficiency within the robotics industry, ultimately contributing to the development of more sophisticated and effective robotic solutions.
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RJ Scaringe Unveils Mind Robotics: A $500M Bet on 'Captured Distribution' for Industrial AI
RJ Scaringe, the founder of Rivian, has officially launched Mind Robotics, a new startup that seeks to merge traditional automation with human-like dexterity in industrial applications. The venture is supported by prominent investors Accel and Andreessen Horowitz (a16z). This initiative aims to address the growing demand for more adaptable and efficient robotic solutions in various industries. By leveraging advanced technology, Mind Robotics intends to enhance automation capabilities, making them more versatile and capable of performing complex tasks that require a level of finesse typically associated with human workers. The announcement marks a significant step in Scaringe's ongoing commitment to innovation in the robotics sector.
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Cartwheel Robotics Founder Scott LaValley Joins Google DeepMind
After the closure of his startup, a former Disney Imagineer and veteran of Boston Dynamics has partnered with Aaron Saunders to promote advancements in Physical AI. This collaboration aims to leverage their combined expertise in robotics and artificial intelligence to develop innovative solutions that enhance physical interactions between humans and machines. The initiative reflects a growing interest in the integration of AI into everyday physical tasks, driven by the increasing demand for automation and intelligent systems. The partnership is set to explore new frontiers in technology, potentially transforming industries that rely on physical labor and interaction.
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Google DeepMind Robotics Director: We Need "One More Big Breakthrough" to Solve General Purpose Robots
DeepMind's robotics lab recently provided an exclusive behind-the-scenes glimpse into its innovative work, highlighting the development of advanced "thinking" robots capable of long-term planning. This showcase aimed to illustrate the potential of these technologies in real-world applications. However, lab leadership acknowledged that achieving data efficiency is a significant challenge that must be overcome before these robots can be deployed effectively outside of controlled environments. The insights were shared as part of an ongoing effort to advance robotics and artificial intelligence, with the team emphasizing the importance of refining their systems to ensure practical usability in everyday scenarios.
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DeepMind Hires Former Boston Dynamics CTO to Build the ‘Android of Robotics’
Google DeepMind has announced the appointment of Aaron Saunders as Vice President of Hardware Engineering, a significant move aimed at advancing its Gemini project into a comprehensive operating system for physical artificial intelligence. Saunders, who brings over 23 years of experience from Boston Dynamics, is expected to leverage his expertise to enhance the integration of hardware and AI technologies. This strategic decision underscores DeepMind's commitment to expanding its capabilities in the rapidly evolving field of AI, particularly in creating systems that can interact seamlessly with the physical world. The announcement comes as the company seeks to solidify its position at the forefront of AI innovation.
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DeepMind, Tesla Vets Emerge From Stealth With ''Sunday Robotics,'' Backed by Conviction
Sunday Robotics, a startup based in Mountain View, is set to unveil its highly anticipated product on November 19. Founded by Tony Zhao, a former engineer at DeepMind and Tesla, the company has been operating in stealth mode for the past 1.5 years. Backed by the venture capital firm Conviction, Sunday Robotics aims to make a significant impact in the tech industry, drawing comparisons to the groundbreaking launch of the iPhone. The upcoming reveal has generated considerable excitement, as the startup prepares to showcase its innovative technology to the public.
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Google DeepMind Robotics Head Details 'Surprising' Cross-Embodiment AI, Calls Home 'The Hardest Environment'
In a recent interview, Carolina Parada from Google DeepMind highlighted the innovative features of Gemini Robotics 1.5, particularly its unique 'agentic' two-part brain. Parada emphasized the robot's impressive capability to transfer skills across different robotic platforms, showcasing a significant advancement in robotics technology. She also expressed her belief that the home environment represents one of the final frontiers for the application of such technology, suggesting a future where robots could play an integral role in daily household tasks. This discussion sheds light on the ongoing developments in robotics and the potential for transformative impacts in personal living spaces.
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Google DeepMind Unveils On-Device Gemini Robotics, Pushing AI Closer to Autonomous Dexterity
Google DeepMind has introduced Gemini Robotics On-Device, a cutting-edge vision-language-action model that operates directly on robotic hardware. This innovative technology is designed to enhance the performance of autonomous robots by minimizing latency and increasing robustness across diverse environments. By enabling advanced dexterous manipulation, Gemini Robotics On-Device aims to equip a new generation of robots with the ability to quickly adapt to various tasks. The launch marks a significant step forward in the development of more efficient and capable robotic systems, reflecting DeepMind's commitment to pushing the boundaries of artificial intelligence in practical applications.
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