Large Language Models (LLMs) trained using massive text datasets have recently shown promise in generating action plans for robotic agents from high level text queries. However, these models typically do not consider the robot’s environment, resulting in generated plans that may not actually be executable, due to ambiguities in the planned actions or environmental constraints. In this paper, we propose an approach to generate environmentally-aware action plans that agents are better able to execute. Our approach involves integrating environmental objects and object relations as additional inputs into LLM action plan generation to provide the system with an awareness of its surroundings, resulting in plans where each generated action is mapped to objects present in the scene. We also design a novel scoring function that, along with generating the action steps and associating them with objects, helps the system disambiguate among object instances and take into account their states. We evaluated our approach using the VirtualHome simulator and the ActivityPrograms knowledge base and found that action plans generated from our system had a 310% improvement in executability and a 147% improvement in correctness over prior work. The complete code and a demo of our method is publicly available at https://github.com/hri-ironlab/scene_aware_language_planner.
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This content will become publicly available on May 27, 2026
Sovereignty and responsibilization in co-management plans: An action-verb analysis of management plans from Kanaky/New Caledonia
Co-management is an environmental governance framework that seeks to empower communities in decision-making and action, but which risks overburdening them in assigning management actions. Management plans codify co-management objectives and actions and offer a dataset for analyzing project discourses, how responsibilities are distributed, and how projects may either empower or overburden management partners. Here, I combine insights from ethnographic research with content and discourse analysis of five co-management plans from Province Nord, Kanaky/New Caledonia using a technique I name action-verb analysis. I use action-verb analysis to assess the responsibilization—or task assignment—of the eight most responsibilized actors. Results show that actors have generalized or specialized roles and that Indigenousled associations were tasked with a diversity of tasks but sometimes lacked resources to complete them. I consider how co-management arrangements may avoid overburdening Indigenous partners and how Indigenous sovereignty can be supported in co-management so that empowerment is achieved.
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- Award ID(s):
- 2147716
- PAR ID:
- 10599332
- Publisher / Repository:
- Ambio
- Date Published:
- Journal Name:
- Ambio
- ISSN:
- 0044-7447
- Subject(s) / Keyword(s):
- co-management content analysis Indigenous sovereignty management plans Pacific responsibilization
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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