A research paper by scientists from Beijing Institute of Technology proposed a maxillofacial tumor treatment system termed RAMRS, comprising 2 modules: robot-assisted osteotomy and augmented reality-guided reconstruction (ARR).

The new research paper, published on May. 22 in the journal Cyborg and Bionic Systems, developed RAMRS – a robot‑assisted and augmented reality‑guided maxillofacial reconstruction system.

A research paper by scientists at Tsinghua University introduced a modular design paradigm that employs revolute joints to interconnect discrete rigid modules.

The research paper, published on May 19, 2026 in the journal Cyborg and Bionic Systems.

A research paper by scientists at Aerospace Information Research Institute, Chinese Academy of Sciences developed a dual-mode wireless microsystem that enables simultaneous recording of spikes, local field potentials (LFPs), and dopamine (DA)-related electrochemical signals on microelectrode arrays.

The research paper, published on May 21, 2026 in the journal Cyborg and Bionic Systems.

A new commentary in Engineering presents a clear four-stage roadmap for shifting the global energy system toward carbon neutrality. Unlike past energy transitions, this transformation demands joint advances in technology, policy, and society. It also introduces the T-ESGO framework to integrate energy, material, carbon, and information flows, stressing innovation, cross-disciplinary work, and global cooperation to drive practical, sustainable progress.

A research paper by scientists from Nanyang Technological University developed a miniature wireless controller that is fully implantable to small insects and demonstrated that the implantation of electronic device enhances traversal performance of the cyborg cockroach.

The new research paper, published on May. 25 in the journal Cyborg and Bionic Systems, developed the first fully implantable miniature radio controller for the Madagascar hissing cockroach.

Shenzhen University researchers, with industry partners, developed a black phosphorus-based all-fiber photonic AI platform for medical diagnosis. Built around a microfiber knot resonator, a black phosphorus and molybdenum disulfide heterostructure, and a specialized architecture, the system enables low-power, high-speed optical computing. In clinical tests, it performed well in retinal detachment and liver cancer diagnosis, matching senior radiologists while greatly improving energy efficiency and latency. The work points toward scalable, sustainable photonic AI for healthcare applications.