An LLM multi-agent pipeline can turn natural-language task descriptions into simulated planar robot designs and RL training code, with DeepSeek-R1 performing best.
Sensingagent: Advancing vehicular sens- ing systems for spatiotemporal cognitive intelligence.IEEE Transactions on Intelligent Vehicles, 2024
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.RO 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Multi-Agent Systems for Robotic Autonomy with LLMs
An LLM multi-agent pipeline can turn natural-language task descriptions into simulated planar robot designs and RL training code, with DeepSeek-R1 performing best.