See Something, Say Something: Context-Criticality-Aware Mobile Robot Communication for Hazard Mitigations
Fuente:
arXiv
Salvato in:
| Autori principali: | , , , , |
|---|---|
| Natura: | Preprint |
| Pubblicazione: |
2026
|
| Soggetti: | |
| Accesso online: | |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
| _version_ | 1866910087592804352 |
|---|---|
| author | Oza, Bhavya Shah, Devam Prabhu, Ghanashyama Kodi, Devika Arab, Aliasghar |
| author_facet | Oza, Bhavya Shah, Devam Prabhu, Ghanashyama Kodi, Devika Arab, Aliasghar |
| contents | The proverb ``see something, say something'' captures a core responsibility of autonomous mobile robots in safety-critical situations: when they detect a hazard, they must communicate--and do so quickly. In emergency scenarios, delayed or miscalibrated responses directly increase the time to action and the risk of damage. We argue that a systematic context-sensitive assessment of the criticality level, time sensitivity, and feasibility of mitigation is necessary for AMRs to reduce time to action and respond effectively. This paper presents a framework in which VLM/LLM-based perception drives adaptive message generation, for example, a knife in a kitchen produces a calm acknowledgment; the same object in a corridor triggers an urgent coordinated alert. Validation in 60+ runs using a patrolling mobile robot not only empowers faster response, but also brings user trusts to 82\% compared to fixed-priority baselines, validating that structured criticality assessment improves both response speed and mitigation effectiveness. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_28901 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | See Something, Say Something: Context-Criticality-Aware Mobile Robot Communication for Hazard Mitigations Oza, Bhavya Shah, Devam Prabhu, Ghanashyama Kodi, Devika Arab, Aliasghar Robotics The proverb ``see something, say something'' captures a core responsibility of autonomous mobile robots in safety-critical situations: when they detect a hazard, they must communicate--and do so quickly. In emergency scenarios, delayed or miscalibrated responses directly increase the time to action and the risk of damage. We argue that a systematic context-sensitive assessment of the criticality level, time sensitivity, and feasibility of mitigation is necessary for AMRs to reduce time to action and respond effectively. This paper presents a framework in which VLM/LLM-based perception drives adaptive message generation, for example, a knife in a kitchen produces a calm acknowledgment; the same object in a corridor triggers an urgent coordinated alert. Validation in 60+ runs using a patrolling mobile robot not only empowers faster response, but also brings user trusts to 82\% compared to fixed-priority baselines, validating that structured criticality assessment improves both response speed and mitigation effectiveness. |
| title | See Something, Say Something: Context-Criticality-Aware Mobile Robot Communication for Hazard Mitigations |
| topic | Robotics |
| url | https://arxiv.org/abs/2603.28901 |