The field spans two partially overlapping regimes. The macroscopic swarm regime (centimeter-to-meter scale) includes aerial drone swarms, ground rovers, aquatic surface robots, and satellite constellations using wireless communication and bio-inspired algorithms. The micro/nano regime (nanometer-to-millimeter scale) involves robots actuated by external physical fields — magnetic, optical, acoustic, or chemical — where onboard electronics are absent or minimal and collective behavior emerges through engineered inter-particle interactions.

Magnetic actuation is the dominant approach at the micro/nano scale. Magnetic microparticles are dynamically self-assembled into linear chains that locomote on surfaces in response to precessing magnetic fields. A 2019 paper demonstrated stable parallel operation over macroscale distances of approximately 1 cm. A 2023 paper organized magnetic microrobot swarms into millimeter-height cilia-like structures via oscillation and homogeneous magnetic fields, enabling navigation over uneven surfaces and deployment into biological tissues.

Biomedical and healthcare applications receive the largest concentration of micro/nano-specific citations, accounting for approximately 8 distinct references in this dataset. Primary use cases include targeted drug delivery, cancer therapy, disease diagnosis, antimicrobial treatment, and minimally invasive surgery. A 2025 patent claims 50–80 nm injectable nanobot swarms with distributed AI neural oversight for cancer therapy and cellular regeneration.

Among the 9 patent records with explicit jurisdiction metadata, India (IN) dominates with 8 filings, all carrying pending legal status. The only non-Indian patent is held by Kyndryl, Inc. in the United States, and carries active status. The Indian filings span multiple academic institutions including GLA University, KIET Group of Institutions, LNCT University, National Institute of Technology Durgapur, Vignan’s Nirula Institute, Arunachala College of Engineering for Women, Madhav University, and Rion J.

Communication and state estimation are identified as systemic bottlenecks across multiple records. SwarmCom (2019) achieved up to 3x range improvement and 50–63% lower bit error rate over prior infrared communication art in groups of up to 30 physical robots. Omni-Swarm (2022) achieved centimeter-level relative state estimation accuracy using stereo wide-FoV cameras and ultra-wideband sensors in GPS-denied environments. LoRa is explored as a promising long-range low-power protocol for swarm robotics.

Four directional signals stand out from 7 patent filings and 5 literature records in 2023–2026: AI-orchestrated nanomedical swarms (50–80 nm injectable nanobots for cancer therapy), cilia-inspired magnetic microswarm structures for biological tissue navigation, bio-cybernetic dual-layer swarm intelligence for satellite orbital debris tracking (2026), and swarm-coordinated nanofabrication targeting MEMS micro-assembly and nanoscale semiconductor alignment as a potential alternative to cleanroom lithographic infrastructure.