Held on 8 May 2025, the 10th UN Multi-stakeholder Forum on Science, Technology and Innovation for the Sustainable Development Goals side event, titled “One Health for All: Synergistic Solutions Advancing SDG3 through Sustainable Science & Inclusive Innovation”, convened global experts to explore integrated strategies for advancing human, animal, and environmental health within the 2030 Agenda. The event highlighted innovations like artificial intelligence (AI)-driven surveillance and low-carbon diagnostics, emphasizing equity and Sustainable Development Goals (SDGs) acceleration. One milestone was the launch of an expert consensus promoting the global One Health index (GOHI), a roadmap to align research and experimental development (R&D) with SDG3 targets. Discussions centered on three key issues covering: the One Health approach for SDGs, the role of GOHI as a scientific tool addressing data fragmentation and capacity disparities, and GOHI's potential to enhance cross-sectoral governance, exemplified by case studies from Japan, Cambodia, and Singapore. A consensus emerged to promote GOHI at the sub-national level, recognizing its value as a comprehensive, structured framework offering practical tools, data transformation capabilities, economic analysis, and global knowledge sharing, despite implementation challenges. Six actionable recommendations were proposed, focusing on strengthening institutional coordination, bridging data gaps, integrating GOHI into governance, piloting localized interventions, mobilizing funding, and building capacity through global partnerships. The event marked a significant step forward, positioning the One Health framework, facilitated by tools like GOHI, as essential for achieving the SDGs and ensuring a healthier, more sustainable future for all.

Classic AI technologies are disembodied, and insufficient to make robots intelligently behave in the real world. In contrast, embodied artificial intelligence (Embodied AI) enables artificial agents with physical embodiment to achieve intelligent behavior through interactions with environments. Prof. Weinan Zhang and his team from Harbin Institute of Technology provide a comprehensive survey on Embodied AI. The survey proposes a structured research framework for Embodied AI from the perspective of robot behavior.

This study proposes a mechanism-data dual-driven framework to address the challenge of balancing water conservation, carbon emission reduction, and aquatic ecosystem preservation in China's industrial sector at minimal cost. It involves developing hybrid models for water-use and treatment processes and establishing a superstructure optimization model. This model identifies the optimal pathway for simultaneous water saving and carbon mitigation, supporting cost-effective decisions for industrial park water network optimization. Case studies confirm the framework's effectiveness in balancing economic and environmental benefits.

As the number of wireless applications and devices grows, higher standards for the quality of service and navigation performance of mobile networks are required. Numerous critical applications, including unmanned aerial vehicles, internet of things, digital twin, and military systems, require reliable communication and accurate navigation services. To meet these requirements, the development of the sixth generation (6G) network is necessary. 6G networks provide seamless 3-dimensional coverage in space–air–ground–sea area, as well as deep coupling of communication, sensing, and computation. 6G networks will be combined with low Earth orbit (LEO) satellites to construct a universal and intelligent integrated system of communication, sensing, and computing by utilizing the benefits of LEO satellites, such as miniaturization, modularity, large bandwidth, low latency, and wide area coverage. One of the critical construction tasks in this system is the integration of communication and navigation (ICAN), which can break the limitations of the global navigation satellite system, provide high-precision, robust navigation capability, and enable high- quality communication services.

Space manipulators play an important role in the on-orbit services and planetary surface operation whose reliability is a key issue. In the extreme environment of space, space manipulators are susceptible to a variety of unknown disturbances. Since it is difficult for the manipulator to be repaired immediately, once it fails, it will mean that it cannot complete the mission as expected, which may cause serious losses and dangers. How to have a resilient guarantee, i.e., the manipulator’s ability to resiliently recover and continue to complete tasks, in failure or disturbance is the core capability of its future development. The motion planning unit is used as the computing terminal of the manipulator’s joint motion trajectory. Compared with traditional motion planning, learning-based motion planning has gradually become a hot spot in current research. However, no matter what kind of research ideas, the single robotic manipulator is studied as an independent agent, making it unable to provide sufficient flexibility under conditions such as external force disturbance, observation noise, and mechanical failure.