Embodied Human-Robot Interaction via Acoustics: A MARL Approach with AcoustoBots for Spatial Data Physicalization

arXiv:2607.06563 · cs.RO · Submitted 2026-07-07 · Read on arXiv

cs.RO

Submitted: 2026-07-07

Updated: 2026-07-07

Code: https://github.com/RMResearch/OpenMPD_Solvers

Terminology

• Actor — 10× in this paper · explained in 3 episodes
• Reinforcement Learning — 9× in this paper · explained in 4 episodes
• Multi-Agent Reinforcement Learning — 5× in this paper
• Fidelity — 4× in this paper · explained in 2 episodes
• Interpretability — 3× in this paper · explained in 15 episodes
• Robustness — 3× in this paper · explained in 5 episodes
• Abstraction — 2× in this paper · explained in 1 episode
• Alignment — 2× in this paper · explained in 1 episode
• Multi-Agent Deep Deterministic Policy Gradient — 2× in this paper
• Reward Shaping — 2× in this paper · explained in 2 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Action Space — 1× in this paper · explained in 1 episode
• Centralized Training with Decentralized Execution — 1× in this paper
• Core — 1× in this paper · explained in 2 episodes
• Deep Reinforcement Learning — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes

Sources

• An Introduction to Centralized Training for Decentralized Execution in Cooperative Multi-Agent Reinforcement Learning

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