As humanoid robots become increasingly prominent, Baidu is making significant advancements in the artificial intelligence infrastructure that supports their development. The company is focusing on enhancing embodied intelligence by tackling challenges related to data processing and model training paradigms. This initiative comes at a time when the demand for more sophisticated and capable humanoid robots is rising, necessitating a robust AI framework to facilitate their rapid iteration. Baidu's efforts aim to streamline the development process, ensuring that these robots can learn and adapt more effectively. The ongoing technological reconstruction within Baidu's AI Infra is poised to play a crucial role in shaping the future of humanoid robotics, addressing the complexities of integrating advanced AI with physical embodiments.
The Battle for Embodied Intelligence Infrastructure: How Baidu's AI Infra is Reshaping the Development Paradigm of Embodied Models
Robotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
RSS2026: Development of Consensus and China's Role in Embodied Intelligence
The Robotics: Science and Systems (RSS) conference is set to commence in St. Louis this June, marking a significant event in the robotics academic community. Since its inception in 2006, RSS has been known for its selective approach, accepting only about 60 papers annually, and is regarded as a leading indicator in the field of robotics. The 2026 conferen...
Embodied Intelligence Robotics Research Vision-Language-Action
Obayashi Corporation Launches 18-Month Project with Humanoid Robots in Construction
Obayashi Corporation has initiated an 18-month joint verification project utilizing humanoid robots at a construction site near Tokyo. The project aims to address the critical labor shortage in Japan's construction industry, where over one-third of workers are aged 65 and older, while less than 10% are under 30. The introduction of humanoid robots is seen...
Humanoid Robots Construction Automation Robotics
Xiaopeng Motors Plans to Launch IRON Humanoid Robot with 1,000 Units Monthly Production by 2027
Xiaopeng Motors has announced plans to launch its IRON humanoid robot globally by 2027, aiming to ramp up production to over 1,000 units per month by the end of this year. The robot will initially serve as a sales assistant in domestic stores, with expansion to international locations later in the year. This initiative is significant as Xiaopeng's Preside...
Humanoid Robots Robotics AI
Agility Robotics Proposes Six Key Recommendations for U.S. Humanoid Robot Policies
Agility Robotics has outlined six recommendations aimed at establishing a robust policy framework for humanoid robots in the U.S. According to CEO Peggy Johnson, these recommendations are essential for enhancing the regulatory environment and ensuring the successful integration of humanoids into the workforce. She emphasizes the need for domestic producti...
China Defense / Security Humanoids
RoboParty Launches Open Source Framework for Next-Gen Humanoid Robot Development
In the past two years, the humanoid robot industry has seen numerous impressive demonstrations, but a shift is emerging in the second half of 2026. Companies are now focusing on developing training frameworks, development platforms, data tools, open-source models, and various R&D infrastructures. The competition is evolving from showcasing superior robots...
Humanoid Robots R&D Infrastructure Open Source
Kinetix AI Introduces KAI Halo to Enhance Data Infrastructure for Robotics
As the robotics industry enters a phase of large-scale development, a critical question arises: how long does it take for newly collected real-world data to translate into actionable capabilities for robots? The data journey, from collection to deployment, is complex and any delays can hinder progress. Kinetix AI is addressing this challenge by connecting...
Embodied Intelligence Data Infrastructure Robotics
Correction Notice for Research Article on Robot Peer Failures and Student Learning
An erratum has been issued for the research article titled 'Observing a robot peer’s failures facilitates students’ classroom learning' published in Science Robotics. This correction addresses inaccuracies found in the original publication, ensuring the integrity of the research findings. The importance of this erratum lies in its impact on the understand...
Errata
International Research Team Embarks on Greenland Expedition to Study Melting Glaciers
An international team of researchers is set to begin a six-week expedition in Greenland on July 16, 2026, to investigate the rapid melting of fjord glaciers and its implications for the Atlantic Ocean. The study aims to assess how this melting contributes to potential climate tipping points, particularly affecting ocean currents. The research is part of a...
rrs sir david attenborough glaciers melting fjord glaciers
Key Factors Influencing Trust in Explainable AI Among Infrastructure Professionals
A recent study has identified essential factors that influence trust in artificial intelligence among infrastructure professionals. The research highlights transparency, explainability, and accountability as the primary drivers that foster confidence in AI systems used in infrastructure projects. Understanding these factors is crucial as trust in AI can s...
New Quantum Hermite Transform Algorithm Enhances AI and Scientific Computing Potential
Researchers from the U.S. Department of Energy’s Brookhaven National Laboratory, Northeastern University, Google Quantum AI, and the University of Texas at Austin have introduced a new quantum computing algorithm called the quantum Hermite transform (QHT). This algorithm aims to broaden the scope of problems that future quantum computers can address, part...
AI and Robotics
NVIDIA Open Sources Embodied Intelligence Toolchain to Enhance Robotics Development
On July 6, NVIDIA integrated three key components into Hugging Face's open-source robotics library, LeRobot: the GR00T N1.7 model, Isaac Teleop framework, and the upcoming Cosmos 3. This collaboration connects NVIDIA's 3 million robot developers with Hugging Face's 16 million AI builders, facilitating access to pre-trained models and data. This initiative...
Robotics Open Source AI Development
Nous Research Secures New Funding Talks at $1.5 Billion Valuation for Hermes Agent
Nous Research, the creator of the open-source Hermes agent, is in discussions to secure a new funding round led by Robot Ventures, aiming for a valuation of $1.5 billion. The company is looking to raise at least $75 million, following a previous $50 million Series A funding announced just three months prior. This funding round is significant as it reflect...
AI Startups Venture
Humanoid M.AX Alliance
Korea, Republic of (South)
The Humanoid M.AX Alliance, established in April 2025, is a consortium comprising 224 entities focused on advancing Korea's humanoid robotics sector. Key initiatives include developing shared Robot AI Foundation Models, conducting R&D on next-gen humanoid technologies, and collaborating on AI semiconductors and mobility batteries. The Alliance also emphasizes startup acceleration and talent development through partnerships with leading universities.
Kind Humanoid (Acq. by 1X)
United States
NEO is an advanced humanoid robot designed for versatile applications in domestic and commercial environments. It utilizes artificial intelligence algorithms for natural language processing and machine learning to enhance user interaction. The robot is equipped with a modular hardware architecture, enabling scalability and customization. Key features include real-time data processing, autonomous navigation, and integration with IoT devices for smart home functionality.
Rotaku (humanoid robotics; limited public info)
United States
The humanoid robots developed feature a height of 1.7m, a weight of 45kg, and 22 degrees of freedom, enabling complex manipulation tasks. The system utilizes a robust SDK for high- and low-level control, alongside a data analytics stack for telemetry management. Advanced simulation environments support reinforcement learning for policy optimization, ensuring effective deployment in real-world scenarios.
Green Hills Software
United States
Independent embedded software provider delivering RTOS, compilers, IDEs, and debuggers for safety- and security-critical systems. Serves automotive, avionics, defence, and industrial domains with certified real-time operating system platforms since 1982.
Scorpion Vision Software (UK)
Norwegian-based 2D and 3D industrial machine vision software platform (marketed under Tordivel AS). Offers sub-pixel and micron-level non-contact measurement, configurable inspection tools, and advanced calibration capabilities without programming.
Acquired Data Solutions, Inc.
United States
Provides systems engineering, embedded software development, automation integration, and cybersecurity services for government and commercial defense clients. Capabilities include OT/IT convergence, edge computing, and mission-critical system integration across a 28-year operational history.
HERL (Human Engineering Research Lab)
United States
Joint University of Pittsburgh and US Department of Veterans Affairs laboratory conducting rehabilitation engineering research. Develops mobility devices, assistive technologies, and medical-grade products for people with disabilities.
Joanneum Research Assoc (AT)
Austria
Joanneum Research Institute for Robotics and Flexible Production conducts applied R&D in industrial robot systems, production automation and robot safety, offering feasibility analysis, consulting and testing in a robotics solution centre.
St Petersburg National Research U of ITMO
Russian leading research university (ITMO University) specializing in information technology, optical engineering, and photonics. Active research programs in AI, robotics, computer vision, and cyber-physical systems.
Acquire to Decide
France
A2D specializes in automated infrastructure monitoring solutions utilizing advanced photogrammetry and AI for fault detection. Our A2D Cloud and A2D Real Time platforms facilitate rapid data acquisition and processing, generating 3D digital twins with defect visualization. This technology enables proactive maintenance strategies, enhances risk management, and optimizes operational costs, ensuring precise diagnostics and timely decision-making for engineering structures.
ReSim.ai
United States
Resim develops cloud-based simulation and validation infrastructure for robotics and autonomous vehicles. Its platform supports scenario generation, data replay, system regression testing, and performance analytics to accelerate verification and continuous integration of autonomy stacks.
Disruptive Technologies (NO)
Norway
Disruptive Technologies manufactures miniature wireless IoT sensors with peel-and-stick form factor for monitoring temperature, proximity, touch, and humidity. Sensors transmit data to cloud infrastructure for asset tracking and facility management.
Leave a comment