Multi-bounce Drum Roll with Optimized Active Tricks to Leverage Soft Embodiment

2026-07-01

2026 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)

AI Summary

本文提出了一种软体机器人鼓手，通过设计两种技巧（Tap-Pull和Micro-Pulse）并使用贝叶斯优化来提高反弹次数和保持音量，以实现高效的连击。

Abstract

This paper presents a soft robotic drummer for accurate and efficient drum rolls. High-frequency drum rolls require the "multi-bounce technique," where a drumstick bounces multiple times with a single stroke. In robotic reproduction of this technique, the body’s elasticity is key, while the fine motion during the stroke is also crucial for maximizing the potential of that elasticity. Therefore, we design two tricks: i) Tap-Pull (TP) trick to increase the number of rebounds by adding a pulling motion after impact; and ii) Micro-Pulse (MP) trick to keep the drumming volume by injecting small oscillations during the stroke. Due to the nonlinear complexity of soft embodiment, both tricks are efficiently tuned using Bayesian optimization in a data-driven manner for accomplishing the respective objectives quantified. We evaluated the optimized behaviors with soft and rigid end-effectors. As a result, the soft TP achieved the highest bounce count (12.25 per stroke) with uniform intervals. The soft MP suppressed the volume decay, yielding 6.8-times higher acoustic efficiency compared to the rigid MP. These results indicate that the proposed tricks with the combination of elasticity and optimization can make robots play excellent drum rolls.

Problem

• soft robotics
• drum rolls
• multi-bounce technique
• elasticity

Innovation

• Soft Robotics
• Multi-bounce Technique
• Bayesian Optimization
• Elasticity