STARLI | F091–F100 / 300 Flagship 13 Fission · Volume I · Collective Microrobotic Autonomy, Swarm Safety and Mission Continuity Author: 33 | Nonclinical Research Design Working Edition v1.3 | English Zenodo Ten-Volume Overview This ten-volume collection closes the first hundred of the STARLI 300-theme research-design atlas. Research Unit I (F091–F095) examines autonomous sampling, local-to-global coordination, pheromone-like signaling, collision avoidance and collective energy allocation. Research Unit II (F096–F100) examines distributed planning, localization uncertainty, changing network topology, fault isolation and safe mission handoff. Each volume states prospective physical tests rather than completed experimental findings. The ten English working editions total 7,770 PDF pages: 300 candidate mathematical plates, 820 chapter openings, 4,100 independently paginated investigations, 2,000 Research Gates and 330 Phoenix Answer Embryos. The v1.3 Gate-annotation pass contrasts mechanisms, physical witnesses, blinded falsifiers, rivals, stopping boundaries and successor interfaces. These editorial counts and text-screening results do not establish causal independence or scientific validation. The Ten Research Directions F091 Nanorobotic Collective Autonomy Sampling At The Limit — Proposes controlled tests of swarm sampling throughput and identity preservation. A concealed communication partition probes whether completion gains survive the loss of collective coordination, against a centralized full-state controller; collision events and consensus error remain explicit vetoes. F092 Microrobotic Local Collaboration And Global Mission At The Limit — Asks whether agent-to-agent collaboration improves global agreement when robots lack an unmetered global-state feed. Hidden adversarial-neighbor states test dependence on outside tracking; fixed behavior rules with matched energy provide the comparator. F093 Nanorobotic Collective Pheromone Communication At The Limit — Explores prospective chemical-trail or signal-mediated coordination with collision exposure as a primary outcome. Hidden actuator saturation and a matched-actuation single-agent baseline challenge claims that signaling, rather than redundancy or imposed motion, caused the improvement. F094 Microscale Robot Collective Collision Avoidance Control At The Limit — Examines collision-safe motion while monitoring spatial coverage, recovery time and communication burden. A blinded shared-localization bias tests whether apparent avoidance depends on erroneous common position estimates; safety-boundary crossings trigger rejection. F095 Nanorobotic Collective Energy Allocation At The Limit — Tests dynamic allocation of limited energy across agents during dropout and recovery. Hidden agent-loss clusters challenge energy accounting and recovery-time claims against fixed rules with an equal energy budget; persistent unsafe confidence is a stop condition. F096 Microrobotic Distributed Mission Planning At The Limit — Studies task planning without a central controller using communication load, work-per-task and selective abstention as prospective metrics. Hidden network partitions expose plans that depend on unavailable messages, while a matched-actuation single-agent system tests whether coordination adds value. F097 Nanorobotic Collective Localization Uncertainty At The Limit — Tests whether robots can act safely when position confidence is uncertain or neighbors provide deceptive state information. Energy per accepted task, abstention and completion are checked against a full-state centralized benchmark; unrecognized safety-boundary crossings invalidate the claim. F098 Microrobotic Collective Dynamic Topology Control At The Limit — Examines when changing neighbor connections should trigger reconfiguration or justified refusal to proceed. Hidden actuator saturation challenges topology decisions; fixed energy-matched rules and independent task and consensus measurements distinguish adaptive control from misleading internal agreement. F099 Nanorobotic Collective Fault Isolation At The Limit — Investigates recognition and containment of malfunctioning agents without allowing errors to propagate across the swarm. A blinded shared-localization bias tests whether fault labels confuse a common sensor defect with separate robot failures; recovery to a known-safe state is mandatory. F100 Microrobotic Collective Mission Handoff At The Limit — Designs a traceable transfer of task state and authority across agents after concealed dropout clusters. The study checks consensus error, collisions and coverage against centralized full-state control; an apparently successful handoff is rejected if safety invariants are violated. Scope, Falsifiability and Evidence Boundaries All ten volumes are prospective, nonclinical research-design working editions for traceable materials, authorized ex-vivo systems, synthetic phantoms and bench-scale microfluidic tests. Proposed comparisons require preregistered budgets, blinded perturbations, independent reference measurements, complete negative-trial denominators and explicit safety stops. No new experimental results, validated in-body autonomy or clinical benefit are claimed. Mathematical derivations, physical unit consistency, claim-level DOI linkage and substantive causal novelty still require specialist review; the automatic Gate-text distinctness audit cannot replace it. Selected Established Methodological References Yang & Zhang (2021) · Motion Control in Magnetic Microrobotics: From Individual and Multiple Robots to Swarms · DOI 10.1146/annurev-control-032720-104318 | Farivarnejad & Berman (2022) · Multirobot Control Strategies for Collective Transport · DOI 10.1146/annurev-control-042920-095844 | STARLI Flagship 13 mother-method ancestry · DOI 10.5281/zenodo.23318840 These identifiers and methodological descriptions come from the supplied source-archive evidence register. They are reference points for existing methods, not evidence that any STARLI-specific candidate device or proposed experimental advantage has been demonstrated. Independent source-to-claim verification remains necessary. Join the STARLI Research Community Explore more than 100 interdisciplinary research themes and follow the evolving STARLI Research Gate community: https://zenodo.org/communities/starli-research-gate/ We do not need to know which door future generations will choose to open. We only hope that when they open it, they will find a little light to guide their way.

BibTeX

@article{allodium:10.5281/zenodo.23915848,
  title = {STARLI | F091–F100 / 300 Flagship 13 Fission · Volume I · Collective Microrobotic Autonomy, Swarm Safety and Mission Continuity Author: 33  |  Nonclinical Research Design Working Edition v1.3  |  English Zenodo Ten-Volume Overview This ten-volume collection closes the first hundred of the STARLI 300-theme research-design atlas. Research Unit I (F091–F095) examines autonomous sampling, local-to-global coordination, pheromone-like signaling, collision avoidance and collective energy allocation. Research Unit II (F096–F100) examines distributed planning, localization uncertainty, changing network topology, fault isolation and safe mission handoff. Each volume states prospective physical tests rather than completed experimental findings. The ten English working editions total 7,770 PDF pages: 300 candidate mathematical plates, 820 chapter openings, 4,100 independently paginated investigations, 2,000 Research Gates and 330 Phoenix Answer Embryos. The v1.3 Gate-annotation pass contrasts mechanisms, physical witnesses, blinded falsifiers, rivals, stopping boundaries and successor interfaces. These editorial counts and text-screening results do not establish causal independence or scientific validation. The Ten Research Directions F091  Nanorobotic Collective Autonomy Sampling At The Limit — Proposes controlled tests of swarm sampling throughput and identity preservation. A concealed communication partition probes whether completion gains survive the loss of collective coordination, against a centralized full-state controller; collision events and consensus error remain explicit vetoes. F092  Microrobotic Local Collaboration And Global Mission At The Limit — Asks whether agent-to-agent collaboration improves global agreement when robots lack an unmetered global-state feed. Hidden adversarial-neighbor states test dependence on outside tracking; fixed behavior rules with matched energy provide the comparator. F093  Nanorobotic Collective Pheromone Communication At The Limit — Explores prospective chemical-trail or signal-mediated coordination with collision exposure as a primary outcome. Hidden actuator saturation and a matched-actuation single-agent baseline challenge claims that signaling, rather than redundancy or imposed motion, caused the improvement. F094  Microscale Robot Collective Collision Avoidance Control At The Limit — Examines collision-safe motion while monitoring spatial coverage, recovery time and communication burden. A blinded shared-localization bias tests whether apparent avoidance depends on erroneous common position estimates; safety-boundary crossings trigger rejection. F095  Nanorobotic Collective Energy Allocation At The Limit — Tests dynamic allocation of limited energy across agents during dropout and recovery. Hidden agent-loss clusters challenge energy accounting and recovery-time claims against fixed rules with an equal energy budget; persistent unsafe confidence is a stop condition. F096  Microrobotic Distributed Mission Planning At The Limit — Studies task planning without a central controller using communication load, work-per-task and selective abstention as prospective metrics. Hidden network partitions expose plans that depend on unavailable messages, while a matched-actuation single-agent system tests whether coordination adds value. F097  Nanorobotic Collective Localization Uncertainty At The Limit — Tests whether robots can act safely when position confidence is uncertain or neighbors provide deceptive state information. Energy per accepted task, abstention and completion are checked against a full-state centralized benchmark; unrecognized safety-boundary crossings invalidate the claim. F098  Microrobotic Collective Dynamic Topology Control At The Limit — Examines when changing neighbor connections should trigger reconfiguration or justified refusal to proceed. Hidden actuator saturation challenges topology decisions; fixed energy-matched rules and independent task and consensus measurements distinguish adaptive control from misleading internal agreement. F099  Nanorobotic Collective Fault Isolation At The Limit — Investigates recognition and containment of malfunctioning agents without allowing errors to propagate across the swarm. A blinded shared-localization bias tests whether fault labels confuse a common sensor defect with separate robot failures; recovery to a known-safe state is mandatory. F100  Microrobotic Collective Mission Handoff At The Limit — Designs a traceable transfer of task state and authority across agents after concealed dropout clusters. The study checks consensus error, collisions and coverage against centralized full-state control; an apparently successful handoff is rejected if safety invariants are violated. Scope, Falsifiability and Evidence Boundaries All ten volumes are prospective, nonclinical research-design working editions for traceable materials, authorized ex-vivo systems, synthetic phantoms and bench-scale microfluidic tests. Proposed comparisons require preregistered budgets, blinded perturbations, independent reference measurements, complete negative-trial denominators and explicit safety stops. No new experimental results, validated in-body autonomy or clinical benefit are claimed. Mathematical derivations, physical unit consistency, claim-level DOI linkage and substantive causal novelty still require specialist review; the automatic Gate-text distinctness audit cannot replace it. Selected Established Methodological References Yang \& Zhang (2021) · Motion Control in Magnetic Microrobotics: From Individual and Multiple Robots to Swarms · DOI 10.1146/annurev-control-032720-104318   |   Farivarnejad \& Berman (2022) · Multirobot Control Strategies for Collective Transport · DOI 10.1146/annurev-control-042920-095844   |   STARLI Flagship 13 mother-method ancestry · DOI 10.5281/zenodo.23318840 These identifiers and methodological descriptions come from the supplied source-archive evidence register. They are reference points for existing methods, not evidence that any STARLI-specific candidate device or proposed experimental advantage has been demonstrated. Independent source-to-claim verification remains necessary. Join the STARLI Research Community Explore more than 100 interdisciplinary research themes and follow the evolving STARLI Research Gate community: https://zenodo.org/communities/starli-research-gate/ We do not need to know which door future generations will choose to open. We only hope that when they open it, they will find a little light to guide their way.},
  author = {33},
  year = {2026},
  doi = {10.5281/zenodo.23915848},
  url = {https://doi.org/10.5281/zenodo.23915848}
}

RIS

TY  - JOUR
TI  - STARLI | F091–F100 / 300 Flagship 13 Fission · Volume I · Collective Microrobotic Autonomy, Swarm Safety and Mission Continuity Author: 33  |  Nonclinical Research Design Working Edition v1.3  |  English Zenodo Ten-Volume Overview This ten-volume collection closes the first hundred of the STARLI 300-theme research-design atlas. Research Unit I (F091–F095) examines autonomous sampling, local-to-global coordination, pheromone-like signaling, collision avoidance and collective energy allocation. Research Unit II (F096–F100) examines distributed planning, localization uncertainty, changing network topology, fault isolation and safe mission handoff. Each volume states prospective physical tests rather than completed experimental findings. The ten English working editions total 7,770 PDF pages: 300 candidate mathematical plates, 820 chapter openings, 4,100 independently paginated investigations, 2,000 Research Gates and 330 Phoenix Answer Embryos. The v1.3 Gate-annotation pass contrasts mechanisms, physical witnesses, blinded falsifiers, rivals, stopping boundaries and successor interfaces. These editorial counts and text-screening results do not establish causal independence or scientific validation. The Ten Research Directions F091  Nanorobotic Collective Autonomy Sampling At The Limit — Proposes controlled tests of swarm sampling throughput and identity preservation. A concealed communication partition probes whether completion gains survive the loss of collective coordination, against a centralized full-state controller; collision events and consensus error remain explicit vetoes. F092  Microrobotic Local Collaboration And Global Mission At The Limit — Asks whether agent-to-agent collaboration improves global agreement when robots lack an unmetered global-state feed. Hidden adversarial-neighbor states test dependence on outside tracking; fixed behavior rules with matched energy provide the comparator. F093  Nanorobotic Collective Pheromone Communication At The Limit — Explores prospective chemical-trail or signal-mediated coordination with collision exposure as a primary outcome. Hidden actuator saturation and a matched-actuation single-agent baseline challenge claims that signaling, rather than redundancy or imposed motion, caused the improvement. F094  Microscale Robot Collective Collision Avoidance Control At The Limit — Examines collision-safe motion while monitoring spatial coverage, recovery time and communication burden. A blinded shared-localization bias tests whether apparent avoidance depends on erroneous common position estimates; safety-boundary crossings trigger rejection. F095  Nanorobotic Collective Energy Allocation At The Limit — Tests dynamic allocation of limited energy across agents during dropout and recovery. Hidden agent-loss clusters challenge energy accounting and recovery-time claims against fixed rules with an equal energy budget; persistent unsafe confidence is a stop condition. F096  Microrobotic Distributed Mission Planning At The Limit — Studies task planning without a central controller using communication load, work-per-task and selective abstention as prospective metrics. Hidden network partitions expose plans that depend on unavailable messages, while a matched-actuation single-agent system tests whether coordination adds value. F097  Nanorobotic Collective Localization Uncertainty At The Limit — Tests whether robots can act safely when position confidence is uncertain or neighbors provide deceptive state information. Energy per accepted task, abstention and completion are checked against a full-state centralized benchmark; unrecognized safety-boundary crossings invalidate the claim. F098  Microrobotic Collective Dynamic Topology Control At The Limit — Examines when changing neighbor connections should trigger reconfiguration or justified refusal to proceed. Hidden actuator saturation challenges topology decisions; fixed energy-matched rules and independent task and consensus measurements distinguish adaptive control from misleading internal agreement. F099  Nanorobotic Collective Fault Isolation At The Limit — Investigates recognition and containment of malfunctioning agents without allowing errors to propagate across the swarm. A blinded shared-localization bias tests whether fault labels confuse a common sensor defect with separate robot failures; recovery to a known-safe state is mandatory. F100  Microrobotic Collective Mission Handoff At The Limit — Designs a traceable transfer of task state and authority across agents after concealed dropout clusters. The study checks consensus error, collisions and coverage against centralized full-state control; an apparently successful handoff is rejected if safety invariants are violated. Scope, Falsifiability and Evidence Boundaries All ten volumes are prospective, nonclinical research-design working editions for traceable materials, authorized ex-vivo systems, synthetic phantoms and bench-scale microfluidic tests. Proposed comparisons require preregistered budgets, blinded perturbations, independent reference measurements, complete negative-trial denominators and explicit safety stops. No new experimental results, validated in-body autonomy or clinical benefit are claimed. Mathematical derivations, physical unit consistency, claim-level DOI linkage and substantive causal novelty still require specialist review; the automatic Gate-text distinctness audit cannot replace it. Selected Established Methodological References Yang & Zhang (2021) · Motion Control in Magnetic Microrobotics: From Individual and Multiple Robots to Swarms · DOI 10.1146/annurev-control-032720-104318   |   Farivarnejad & Berman (2022) · Multirobot Control Strategies for Collective Transport · DOI 10.1146/annurev-control-042920-095844   |   STARLI Flagship 13 mother-method ancestry · DOI 10.5281/zenodo.23318840 These identifiers and methodological descriptions come from the supplied source-archive evidence register. They are reference points for existing methods, not evidence that any STARLI-specific candidate device or proposed experimental advantage has been demonstrated. Independent source-to-claim verification remains necessary. Join the STARLI Research Community Explore more than 100 interdisciplinary research themes and follow the evolving STARLI Research Gate community: https://zenodo.org/communities/starli-research-gate/ We do not need to know which door future generations will choose to open. We only hope that when they open it, they will find a little light to guide their way.
AU  - 33
PY  - 2026
DO  - 10.5281/zenodo.23915848
UR  - https://doi.org/10.5281/zenodo.23915848
ER  - 

APA

33 (2026). STARLI | F091–F100 / 300 Flagship 13 Fission · Volume I · Collective Microrobotic Autonomy, Swarm Safety and Mission Continuity Author: 33 | Nonclinical Research Design Working Edition v1.3 | English Zenodo Ten-Volume Overview This ten-volume collection closes the first hundred of the STARLI 300-theme research-design atlas. Research Unit I (F091–F095) examines autonomous sampling, local-to-global coordination, pheromone-like signaling, collision avoidance and collective energy allocation. Research Unit II (F096–F100) examines distributed planning, localization uncertainty, changing network topology, fault isolation and safe mission handoff. Each volume states prospective physical tests rather than completed experimental findings. The ten English working editions total 7,770 PDF pages: 300 candidate mathematical plates, 820 chapter openings, 4,100 independently paginated investigations, 2,000 Research Gates and 330 Phoenix Answer Embryos. The v1.3 Gate-annotation pass contrasts mechanisms, physical witnesses, blinded falsifiers, rivals, stopping boundaries and successor interfaces. These editorial counts and text-screening results do not establish causal independence or scientific validation. The Ten Research Directions F091 Nanorobotic Collective Autonomy Sampling At The Limit — Proposes controlled tests of swarm sampling throughput and identity preservation. A concealed communication partition probes whether completion gains survive the loss of collective coordination, against a centralized full-state controller; collision events and consensus error remain explicit vetoes. F092 Microrobotic Local Collaboration And Global Mission At The Limit — Asks whether agent-to-agent collaboration improves global agreement when robots lack an unmetered global-state feed. Hidden adversarial-neighbor states test dependence on outside tracking; fixed behavior rules with matched energy provide the comparator. F093 Nanorobotic Collective Pheromone Communication At The Limit — Explores prospective chemical-trail or signal-mediated coordination with collision exposure as a primary outcome. Hidden actuator saturation and a matched-actuation single-agent baseline challenge claims that signaling, rather than redundancy or imposed motion, caused the improvement. F094 Microscale Robot Collective Collision Avoidance Control At The Limit — Examines collision-safe motion while monitoring spatial coverage, recovery time and communication burden. A blinded shared-localization bias tests whether apparent avoidance depends on erroneous common position estimates; safety-boundary crossings trigger rejection. F095 Nanorobotic Collective Energy Allocation At The Limit — Tests dynamic allocation of limited energy across agents during dropout and recovery. Hidden agent-loss clusters challenge energy accounting and recovery-time claims against fixed rules with an equal energy budget; persistent unsafe confidence is a stop condition. F096 Microrobotic Distributed Mission Planning At The Limit — Studies task planning without a central controller using communication load, work-per-task and selective abstention as prospective metrics. Hidden network partitions expose plans that depend on unavailable messages, while a matched-actuation single-agent system tests whether coordination adds value. F097 Nanorobotic Collective Localization Uncertainty At The Limit — Tests whether robots can act safely when position confidence is uncertain or neighbors provide deceptive state information. Energy per accepted task, abstention and completion are checked against a full-state centralized benchmark; unrecognized safety-boundary crossings invalidate the claim. F098 Microrobotic Collective Dynamic Topology Control At The Limit — Examines when changing neighbor connections should trigger reconfiguration or justified refusal to proceed. Hidden actuator saturation challenges topology decisions; fixed energy-matched rules and independent task and consensus measurements distinguish adaptive control from misleading internal agreement. F099 Nanorobotic Collective Fault Isolation At The Limit — Investigates recognition and containment of malfunctioning agents without allowing errors to propagate across the swarm. A blinded shared-localization bias tests whether fault labels confuse a common sensor defect with separate robot failures; recovery to a known-safe state is mandatory. F100 Microrobotic Collective Mission Handoff At The Limit — Designs a traceable transfer of task state and authority across agents after concealed dropout clusters. The study checks consensus error, collisions and coverage against centralized full-state control; an apparently successful handoff is rejected if safety invariants are violated. Scope, Falsifiability and Evidence Boundaries All ten volumes are prospective, nonclinical research-design working editions for traceable materials, authorized ex-vivo systems, synthetic phantoms and bench-scale microfluidic tests. Proposed comparisons require preregistered budgets, blinded perturbations, independent reference measurements, complete negative-trial denominators and explicit safety stops. No new experimental results, validated in-body autonomy or clinical benefit are claimed. Mathematical derivations, physical unit consistency, claim-level DOI linkage and substantive causal novelty still require specialist review; the automatic Gate-text distinctness audit cannot replace it. Selected Established Methodological References Yang & Zhang (2021) · Motion Control in Magnetic Microrobotics: From Individual and Multiple Robots to Swarms · DOI 10.1146/annurev-control-032720-104318 | Farivarnejad & Berman (2022) · Multirobot Control Strategies for Collective Transport · DOI 10.1146/annurev-control-042920-095844 | STARLI Flagship 13 mother-method ancestry · DOI 10.5281/zenodo.23318840 These identifiers and methodological descriptions come from the supplied source-archive evidence register. They are reference points for existing methods, not evidence that any STARLI-specific candidate device or proposed experimental advantage has been demonstrated. Independent source-to-claim verification remains necessary. Join the STARLI Research Community Explore more than 100 interdisciplinary research themes and follow the evolving STARLI Research Gate community: https://zenodo.org/communities/starli-research-gate/ We do not need to know which door future generations will choose to open. We only hope that when they open it, they will find a little light to guide their way.. https://doi.org/10.5281/zenodo.23915848