The article reports on major capital events in the recent robotics and embodied intelligence sectors, including AMD's acquisition of WorldLabs, a company co-founded by Fei-Fei Li, for approximately 55 billion yuan, Midea Group's plan to acquire a welding subsidiary for 6.64 billion yuan, and several robotics companies such as Benmo Technology, Huanchuang Technology, and Juxi Intelligent completing financing or going public. Additionally, multiple embodied intelligence products and solutions have been launched, covering humanoid robots, service robots, flexible electronic skin, tactile perception systems, and more, showcasing the industry's rapid progress in technology, capital, and application scenarios.
Skild AI introduces their omni-bodied robotics foundation model, the Skild Brain, which is trained across diverse morphologies and data sources to enable generalization across tasks and hardware. The model uses a hierarchical architecture with low- and high-frequency policies, and is pre-trained using large-scale simulation and internet video data, with post-training on real-world data. This model represents a significant step toward creating a general-purpose robotic brain capable of operating on various robot types.
Editorial context：Skild AI introduces their omni-bodied robotics foundation model, the Skild Brain, which is trained across diverse morphologies and data sources to enable generalization across tasks and hardware. The model uses a hierarchical architecture with low- and high-frequency policies, and is pre-trained using large-scale simulation and internet video data, with post-training on real-world data. This model
To address the issue of insufficient warehouse space, Figure AI decided to melt down the F.02 robot instead of disassembling or selling it. This decision involves multiple considerations, including intellectual property protection, technical confidentiality, and asset management. Although the destruction process faced challenges in terms of site and technology, it was ultimately completed at the Finnish factory. This incident has also sparked discussions about the management of retired robots and industry standards.
Editorial context：The destruction of Figure AI's F.02 robot reflects the complexity of robot decommissioning management, involving multiple considerations such as intellectual property protection, asset management, technical confidentiality, and industry standards. The choice of destruction method is not only related to technical implementation but also reflects the company's emphasis on data security and commercial confidentiality.
Professor Shi Qing's team from Beijing Institute of Technology was inspired by the high-speed running mechanism of the elephant shrew. They designed a micro quadruped robot named FLEXOR equipped with a dual-joint coupled spine. Through dynamic spine-leg coordination, the robot achieved a 31.6% increase in speed and a 32.2% reduction in energy consumption without upgrading its motors. The study reveals the critical role of the timing coordination between the spine and legs in locomotion performance and verifies the universality of this mechanism across different robot morphologies, providing new insights for highly mobile embodied intelligent robots.
The Stanford team's HomeBody project demonstrates how GPT-6 Astra controls the Unitree G1 robot to complete kitchen cleaning tasks through a three-step process: spatial exploration, digital twin simulation, and task execution. The system uses pre-trained models and a skill library to perform complex operations in new environments without additional training.
Editorial context：The article explains how GPT-6 Astra controls the Unitree G1 robot to perform kitchen tasks using a three-step process: spatial exploration, simulation mapping, and task execution. It highlights the integration of perception, planning, and control systems, and discusses the role of pre-trained models and skill-based execution in enabling generalization across new environments.
Zhixuan Robotics has deployed 100 units of the Lingxi X2 humanoid robot in 100 retail stores of Aishida, achieving a 39% increase in store sales. The robots, named 'Aibao,' engage customers by understanding their cooking needs and guiding them toward suitable products, while also seamlessly transferring conversations to human staff when necessary. This marks a milestone in the deployment of embodied AI in real-world retail environments.
Editorial context：This report highlights a significant deployment of humanoid robots in retail environments, showcasing how they integrate with human staff to improve sales performance. The case study with 100 robots in 100 stores demonstrates the practical application of embodied AI in real-world commerce, emphasizing the importance of collaboration between robots and human workers.
The article analyzes China's leading position in the field of humanoid robot patents, noting that as of the first half of 2026, China holds 60.8% of relevant patents, significantly surpassing the United States and South Korea. The article examines the evolution of patent strategies, the trend of technological shift from hardware to software, and the progress made by Chinese companies in patent quality, application scenarios, and global layout. It also points out that patent quantity does not equate to comprehensive technological leadership, emphasizing the challenges of manufacturing costs and quality, as well as the dual role of patents in industrial competition.
Editorial context：The article presents a comprehensive analysis of China's growing dominance in humanoid robot patents, highlighting the shift from hardware to software innovation and the implications for global competition. It underscores the importance of patent strategy in shaping the future of the industry, while also acknowledging the challenges in translating patent strength into commercial success.
2026-09-29Tue
Tuesday
Robotic Systems Lab@leggedroboticsSignalEditorial score6262
Editorial context：The work introduces LP-ACRL, a curriculum learning framework that automatically samples terrain types, difficulty levels, and velocity commands based on policy performance, eliminating the need for pre-defined training sequences.
China is pursuing a strategic roadmap through its Five-Year Plans to dominate the global robotics industry, focusing on embodied AI and humanoid robotics. The 13th and 14th FYPs laid the foundation for industrial automation, while the 15th FYP emphasizes embodied intelligence, with state support for R&D and mass deployment of humanoids. Despite achievements in market share and production scale, challenges remain in precision hardware and semiconductor self-sufficiency, with risks of overcapacity and market volatility.
Editorial context：This analysis provides a detailed overview of China's strategic approach to robotics through its Five-Year Plans, highlighting the shift from industrial automation to embodied AI and the challenges in achieving self-sufficiency in critical components. It emphasizes the role of state coordination, domestic manufacturing capabilities, and the risks associated with the rapid expansion of humanoid机器人.
2026-09-22Tue
Tuesday
Robotic Systems Lab@leggedroboticsSignalEditorial score6363
Editorial context：The post introduces PragmaBot, a system that enables robots to learn from real-world failures through online in-context learning, without requiring retraining. It highlights the challenge of using Vision-Language Models (VLMs) in robotics, where understanding physical embodiment is critical for effective learning.
MIT researchers have developed a reconfigurable robotic lab that autonomously assembles, tunes, and dismantles optical experiments. The system uses robotic arms, 3D-printed component housings, and a cloud-based interface to enable remote operation. It can build and fine-tune a laser cavity in under 30 minutes, demonstrating the potential for fully automated optical experiments.
Editorial context：This research introduces a reconfigurable robotic optics lab capable of autonomously assembling, tuning, and dismantling optical experiments with micron-scale precision. The system integrates robotic arms, 3D-printed component housings, QR code identification, and a cloud-based interface for remote operation. It demonstrates the potential for fully automated optical experiments, reducing manual t犯
MIT researchers have developed a new technique that helps generative AI models meet strict safety and task-specific constraints without sacrificing output quality. The method, called HardFlow, reformulates constraint satisfaction as a trajectory-optim, allowing models to explore more freely during generation while ensuring final compliance with hard constraints. It is tested on robotics, control, and computer vision tasks, consistently outperforming existing methods in constraint satisfaction and solution quality.
Editorial context：This research introduces HardFlow, a novel method for ensuring generative AI models meet strict safety and task-specific constraints without compromising output quality. By reformulating constraint satisfaction as a trajectory-optimization problem, the approach allows models to explore more freely during generation while guaranteeing final compliance with hard constraints. The method is tested on
This article explores how tactile data is helping robots improve their dexterous manipulation skills. Researchers are creating large tactile datasets and models that can use tactile feedback to enhance robot performance in tasks like folding laundry or turning keys. Challenges include the difficulty of integrating tactile data with vision-based models and the need for more diverse and scalable datasets to achieve significant improvements in robot dexterity.
Editorial context：The article highlights the growing importance of tactile data in advancing robot dexterity, emphasizing the challenges of integrating tactile feedback into vision-language-action (VLA) models. It discusses recent research efforts to create diverse tactile datasets and models that can generalize across different robotic hardware, while also addressing the limitations of current approaches and the '
Researchers at the University of Queensland have developed 'Paraborgs'—cyborg cockroaches equipped with needles and cameras to assist in search-and-rescue missions. These insects, grafted with electronic interfaces, can navigate rubble, deliver drugs, and operate in teams. The study addresses challenges in autonomy, communication, and human interaction with the technology.
Editorial context：This research explores the use of cyborg cockroaches for search-and-rescue operations, leveraging the natural mobility of insects and augmenting them with electronics for sensing and intervention. The study highlights challenges in autonomy, communication, and human acceptance, while emphasizing the potential for rapid deployment in disaster scenarios.
Skild AI introduces S1, a robotic foundation model that leverages in-context learning to execute complex, long-horizon tasks without post-training. This marks a significant shift from traditional fine-tuning approaches, enabling rapid deployment and reducing data requirements. The model demonstrates strong performance on unseen tasks, including plant potting, pancake cooking, and kit assembly, and shows robustness to perturbations and common-sense reasoning.
Editorial context：Skild AI introduces S1, a robotic foundation model that leverages in-context learning to execute complex, long-horizon tasks without post-training. This marks a significant shift from traditional fine-tuning approaches, enabling rapid deployment and reducing data requirements. The model demonstrates strong performance on unseen tasks, including plant potting, pancake cooking, and kit assembly, and
2026-07-30Thu
Thursday
Google DeepMind — RoboticsSignalEditorial score8888
Google DeepMind has launched Gemini Robotics ER 2, a new model that enhances robotics through video understanding, task orchestration, and multi-robot collaboration. It enables robots to perform complex tasks, adapt in real-time, and work together in shared environments. The model also improves safety and spatial reasoning capabilities, with performance benchmarks showing significant gains over previous versions.
Editorial context：Google DeepMind's Gemini Robotics ER 2 introduces a significant advancement in embodied reasoning for robotics, integrating video understanding, task orchestration, and multi-robot collaboration. It outperforms its predecessor in tool orchestration and safety benchmarks, enabling more robust and adaptive physical AI systems.
2026-07-28Tue
Tuesday
Google DeepMind — RoboticsSignalEditorial score8888
Google DeepMind has released Gemini Robotics 2, a new model that enables robots to perform complex tasks with whole-body intelligence, advanced dexterity, and multi-robot collaboration. The model supports real-time reasoning, on-device adaptation, and safety features for human-robot interaction.
Editorial context：Google DeepMind introduces Gemini Robotics 2, a significant advancement in whole-body control and multi-robot collaboration for embodied AI. The release highlights improvements in dexterity, reasoning, and on-device adaptation, with a focus on safety and real-world task execution.
NVIDIA introduces Cosmos-H-Dreams, a real-time, action-conditioned generative simulator for surgical robotics. It distills the capabilities of Cosmos-H-Surgical-Simulator into a causal, few-step student model, enabling interactive environments for policy evaluation and synthetic data generation. The system runs on a single NVIDIA RTX PRO 6000 GPU and supports integration with surgical platforms like Versius.
Editorial context：NVIDIA's Cosmos-H-Dreams represents a significant advancement in real-time generative simulation for surgical robotics, enabling interactive training and evaluation of vision-language-action policies. It builds on prior work with Cosmos-H-Surgical-Simulator and introduces a causal, few-step student model optimized for real-time performance.
NVIDIA has released an open-source, GPU-accelerated Medical Physics Simulation framework as part of its Isaac for Healthcare platform. This tool enables developers to model anatomy-device interactions, generate complex scenarios, and train robot policies in simulation, significantly reducing development time and improving regulatory readiness.
Editorial context：NVIDIA's open-source Medical Physics Simulation framework integrates classical physics and generative AI to enable realistic medical robotics training, offering scalable simulation environments for anatomical and device interactions.
Engineers at MIT and EPFL have developed a flapping-wing robot, or FAAV, that can swim underwater and then flap into the air, mimicking the movement of diving birds. The robot, weighing less than 300 grams, can transition between water and air using optimized wing size, flapping frequency, and tail angle. The study, published in Science, could enable new aerial-aquatic drones for oceanographic research and environmental monitoring.
Editorial context：This research introduces a flapping-wing robot inspired by diving birds, capable of transitioning between swimming and flying. The study highlights the biomechanical adaptations of diving birds and how they inform the design of a robot that can operate in both air and water without the need for feet. The findings could lead to new aerial-aquatic drones for oceanographic research.
