Inner Monologue: Embodied Reasoning through Planning with Language Models
by Google / Everyday Robots · free · Last verified 2026-03-17
Inner Monologue incorporates closed-loop language feedback from the environment—scene descriptions, success detectors, and human feedback—into robotic planning, enabling robots to re-plan dynamically when steps fail. The paper shows that rich language-based feedback loops significantly improve task success rates over open-loop LLM planners.
https://arxiv.org/abs/2207.05608 ↗B
B—Above Average
Adoption: BQuality: AFreshness: B+Citations: B+Engagement: F
Specifications
- License
- Open Access
- Pricing
- free
- Capabilities
- closed-loop-planning, dynamic-re-planning, feedback-integration, language-reasoning
- Integrations
- Use Cases
- robotic-manipulation, adaptive-task-execution, failure-recovery
- API Available
- No
- Tags
- robotics, reasoning, planning, language-models, closed-loop
- Added
- 2026-03-17
- Completeness
- 100%
Index Score
61Adoption
65
Quality
85
Freshness
72
Citations
72
Engagement
0
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