Learning to Plan in Human-Robot Collaboration: Multimodal Reinforcement Learning for Adaptive Interaction

arXiv:2609.25274 · cs.RO · Submitted 2026-09-21 · Read on arXiv

cs.RO

Submitted: 2026-09-21

Updated: 2026-09-21

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

Accuracy — 13× in this paper · explained in 1 episode
Reinforcement Learning — 7× in this paper · explained in 4 episodes
Reward Function — 4× in this paper · explained in 2 episodes
alpha — 3× in this paper · explained in 1 episode
Consistency — 2× in this paper · explained in 3 episodes
Adaptation — 1× in this paper · explained in 1 episode
Affordance — 1× in this paper · explained in 1 episode
Core — 1× in this paper · explained in 2 episodes
Data Augmentation — 1× in this paper · explained in 7 episodes
Deep Reinforcement Learning — 1× in this paper · explained in 2 episodes
Frustration — 1× in this paper · explained in 2 episodes
Generalization — 1× in this paper · explained in 13 episodes
Grounding — 1× in this paper · explained in 3 episodes
IEEE International Conference on Robotics and Automation — 1× in this paper
Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
Q-learning — 1× in this paper · explained in 3 episodes
Regret — 1× in this paper · explained in 3 episodes
Reinforcement Learning (RL) — 1× in this paper · explained in 25 episodes
Self-Supervised Learning — 1× in this paper · explained in 7 episodes
Sparsity — 1× in this paper · explained in 4 episodes
Transfer Learning — 1× in this paper · explained in 10 episodes
Transformer — 1× in this paper · explained in 2 episodes

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