A Gesture-Based Visual Learning Model for Acoustophoretic Interactions using a Swarm of AcoustoBots

arXiv:2604.19643 · cs.RO · Submitted 2026-04-21 · Read on arXiv

cs.RO

Submitted: 2026-04-21

Updated: 2026-04-21

Terminology

• Accuracy — 27× in this paper · explained in 1 episode
• Generalization — 13× in this paper · explained in 13 episodes
• Linear Probing — 8× in this paper · explained in 2 episodes
• Linear probe — 5× in this paper · explained in 2 episodes
• Multi-Agent System — 4× in this paper · explained in 6 episodes
• Contrastive Learning — 3× in this paper · explained in 5 episodes
• Feature Extraction — 3× in this paper · explained in 2 episodes
• Transformer — 3× in this paper · explained in 2 episodes
• Adaptability — 2× in this paper · explained in 1 episode
• Catastrophic Forgetting — 2× in this paper · explained in 5 episodes
• Embeddings — 2× in this paper · explained in 2 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Abstraction — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Agent Interactions — 1× in this paper · explained in 1 episode
• Consistency — 1× in this paper · explained in 3 episodes
• Core — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Latent Space — 1× in this paper · explained in 7 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Objective Function — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Scaling Laws — 1× in this paper · explained in 4 episodes
• Vision Transformer (ViT) — 1× in this paper · explained in 2 episodes

Sources

• SwarmVLM: VLM-Guided Impedance Control for Autonomous Navigation of Heterogeneous Robots in Dynamic Warehousing
• ImpedanceGPT: VLM-driven Impedance Control of Swarm of Mini-drones for Intelligent Navigation in Dynamic Environment
• Understanding deep learning requires rethinking generalization
• A Proposed Set of Communicative Gestures for Human Robot Interaction and an RGB Image-based Gesture Recognizer Implemented in ROS
• An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
• Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution
• Decoupled Weight Decay Regularization
• On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima

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