Distill refines user task specifications for robots by pruning unnecessary steps, generalizing meanings, and relaxing order constraints, as demonstrated in a crowdsourcing study on a web interface.
Tell me dave: Context-sensitive grounding of natural language to manipulation instructions,
2 Pith papers cite this work, alongside 194 external citations. Polarity classification is still indexing.
2
Pith papers citing it
194
external citations · OpenAlex
fields
cs.RO 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
A literature survey of AI-IoT-Robotics integration synthesizes pairwise work, identifies gaps in full three-way systems, and proposes a modular hybrid SLM-LLM architecture for connected robotics.
citing papers explorer
-
Distill: Uncovering the True Intent behind Human-Robot Communication
Distill refines user task specifications for robots by pruning unnecessary steps, generalizing meanings, and relaxing order constraints, as demonstrated in a crowdsourcing study on a web interface.
-
AI-IoT-Robotics Integration: Survey of Frameworks, Emerging Trends, and the Path Toward Connected Robotics
A literature survey of AI-IoT-Robotics integration synthesizes pairwise work, identifies gaps in full three-way systems, and proposes a modular hybrid SLM-LLM architecture for connected robotics.