Bayesian Active Learning for Intent Disambiguation in Interactive Robot Planning

arXiv:2609.34270 · cs.RO, cs.AI, cs.HC · Submitted 2026-09-28 · Read on arXiv

cs.RO, cs.AI, cs.HC

Submitted: 2026-09-28

Updated: 2026-09-28

Terminology

• Active Learning — 10× in this paper · explained in 6 episodes
• Grounding — 8× in this paper · explained in 3 episodes
• Abstraction — 6× in this paper · explained in 1 episode
• Latent Space — 6× in this paper · explained in 7 episodes
• Bayesian Optimization — 5× in this paper · explained in 3 episodes
• Reward Function — 4× in this paper · explained in 2 episodes
• Signal Temporal Logic — 4× in this paper
• Benchmark — 3× in this paper · explained in 2 episodes
• Signal Temporal Logic (STL) — 3× in this paper · explained in 4 episodes
• Sycophancy — 3× in this paper · explained in 4 episodes
• Acquisition Function — 2× in this paper · explained in 1 episode
• Decode — 2× in this paper · explained in 2 episodes
• Interpretability — 2× in this paper · explained in 15 episodes
• Large Language Models (LLMs) — 2× in this paper · explained in 6 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Vision-language models — 2× in this paper · explained in 2 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Ablation study — 1× in this paper · explained in 1 episode
• Affordance — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Bayesian Framework — 1× in this paper · explained in 3 episodes
• Conformal Prediction — 1× in this paper · explained in 5 episodes
• Flow Matching — 1× in this paper · explained in 8 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Hybrid Architectures — 1× in this paper · explained in 3 episodes
• Information Gain — 1× in this paper · explained in 2 episodes
• Reasoning Traces — 1× in this paper · explained in 3 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Sample Efficiency — 1× in this paper · explained in 4 episodes
• Trace — 1× in this paper · explained in 2 episodes
• Variational Bayes — 1× in this paper · explained in 2 episodes
• Verifier — 1× in this paper · explained in 2 episodes

Sources

• Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
• LLM+P: Empowering Large Language Models with Optimal Planning Proficiency
• Masked IRL: LLM-Guided Reward Disambiguation from Demonstrations and Language
• LLMs Get Lost In Multi-Turn Conversation
• Simulation to Rules: A Dual-VLM Framework for Formal Visual Planning
• InterPreT: Interactive Predicate Learning from Language Feedback for Generalizable Task Planning
• Auto-Encoding Variational Bayes

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