Multi-Agent Orchestration with the Common-Sense Reasoning Capabilities of LLMs for Autonomous Driving
Autonomous vehicles require robust perception and decision-making capabilities to operate in diverse and unseen scenarios. While reinforcement learning and rule-based methods can provide effective control and safety mechanisms, their performance may degrade in situations requiring contextual reasoning. Large Language Models (LLMs) have demonstrated strong capabilities in understanding multimodal information and generating contextual reasoning, however, their use for direct vehicle control can introduce latency and hallucination risks. To address these limitations, a hybrid framework is propose
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- FuzzySimilar title/name (fuzzy) · 59%AgentCore-8B →
“Fuzzy title match (0.73): “Multi-Agent Orchestration with the Common-Sense Reasoning Ca” ≈ “AgentCore-8B””
- FuzzySimilar title/name (fuzzy) · 87%SWE-agent/SWE-agent →
“Fuzzy title match (0.94): “Multi-Agent Orchestration with the Common-Sense Reasoning Ca” ≈ “SWE-agent/SWE-agent””
- FuzzySimilar title/name (fuzzy) · 87%zhayujie/CowAgent →
“Fuzzy title match (0.94): “Multi-Agent Orchestration with the Common-Sense Reasoning Ca” ≈ “zhayujie/CowAgent””
- FuzzySimilar title/name (fuzzy) · 66%open-multi-agent/open-multi-agent →
“Fuzzy title match (0.78): “Multi-Agent Orchestration with the Common-Sense Reasoning Ca” ≈ “open-multi-agent/open-multi-agent””
- FuzzySimilar title/name (fuzzy) · 59%NousResearch/hermes-agent →
“Fuzzy title match (0.73): “Multi-Agent Orchestration with the Common-Sense Reasoning Ca” ≈ “NousResearch/hermes-agent””
- FuzzySimilar title/name (fuzzy) · 59%2FastLabs/agent-squad →
“Fuzzy title match (0.73): “Multi-Agent Orchestration with the Common-Sense Reasoning Ca” ≈ “2FastLabs/agent-squad””
- LinkedLinked via arxiv author · 85%Mehdi Azarafza →
“Multi-Agent Orchestration with the Common-Sense Reasoning Capabilities of LLMs for Autonomous Driving”
- LinkedLinked via arxiv author · 85%Faezeh Pasandideh →
“Multi-Agent Orchestration with the Common-Sense Reasoning Capabilities of LLMs for Autonomous Driving”