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Meet the Robot Drummer That Can Play Linkin Park (and Bon Jovi) Like a Human

Robots can play music while we work our menial jobs.

Mihai AndreibyMihai Andrei
August 12, 2025 - Updated on August 27, 2025
in Science
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Edited and reviewed by Zoe Gordon
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Robot Drummer executing a cymbal (dark brown) strike in a learned rhythmic sequence. Credit: Shahid, Braghin & Roveda.

We associate robots with useful, practical activities. They carry things, help us, or provide some form of utility. But Robot Drummer is different.

The robot, developed by scientists in Switzerland and Italy can drum full songs — rock, jazz, even metal, all with striking accuracy. It’s not just a beat machine, though. It learns human-like tricks, from cross-arm hits to on-the-fly stick swaps. It’s a fresh step toward robots that can perform creative, physical arts, not just lift boxes.

Robot Goes Brr

The team used a Unitree G1 humanoid in simulation, perhaps the most performant commercially available humanoid robot. A reinforcement-learning algorithm rewarded the robot for hitting the right drum at the right time, and penalized misses or wrong hits. A gentle bonus encouraged moving sticks close to upcoming targets at the right moments. This dense reward design teaches timing and coordination — not just “did you hit it,” but “did you hit it on time.”

Instead of learning from audio, the robot read the drum part of a song as a sequence of precisely timed “contact events.” The researchers call this a Rhythmic Contact Chain. Each event says which drum to hit and when, and the robot then learns how to move its two sticks and torso to hit those targets in time. Songs are split into short segments, and one learning policy trains across all segments in parallel. That keeps learning efficient without losing the long-range flow of music.

In tests across 30+ songs, Robot Drummer (how did they come up with the name?) nailed the rhythm. On tracks like “In the End” (Linkin Park), “Livin’ on a Prayer” (Bon Jovi), “Take Five” (Dave Brubeck), “Fire” (Jimi Hendrix), and more, it only got a few misses and imperfections per song. It also handled fast snare rolls and complex fills, and discovered efficient moves such as cross-overs and stick reassignment without being told to do so.

The robot struggled with irregular timing. Songs with uneven spacing between hits were harder, and frequent rhythm changes also hurt its performance. Tempo alone didn’t seem to matter much; faster or slow, the robot got it right as long as there were no variations.

Perhaps most impressively, the robot discovered human strategies by itself. It figured out cross-arm hits are more efficient sometimes, and executed seemingly counterintuitive moves much like humans.

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People Think It Sounds Pretty Creative

To evaluate its expressiveness, researchers conducted a small-scale listener study. They had 15 listeners watch and listen to at least three songs performed by the robot and rate various aspects of the performance on a scale from 1 to 5. Unsurprisingly, the “Naturalness” scored the lowest, just under 2.5, while its expressiveness fared pretty well (3.4). For comparison, Timing and Consistency scored 3.7. The performance is good, but the vibe is still “robot”.

Most humanoids focus on walking, balancing, and simple manipulation. Music is different. It demands split-second timing, fast multi-limb coordination, and endurance over minutes. Even tiny timing errors ruin the groove. The team frames drumming as a process, not a single goal — something robot learning has struggled with.

Robots have played instruments before, usually with fixed motions or simplified arms. Reinforcement learning has taught dexterous hands to play piano pieces, but coordinating a full humanoid body over a drum kit, with timing, reach, and two sticks, is a leap. This study shows that framing music as a chain of timed contacts plus dense, musically meaningful rewards can unlock expressive, long-horizon skills. That approach could transfer to dance, sports drills, or any task where what you do next depends tightly on when you do it.

The system runs in simulation today. The team plans to move to real hardware, likely starting with an electronic kit that reports MIDI hit timing and strength. That feedback could fine-tune the policy in the real world and close the sim-to-real gap. They also want to train the robot to improvise and adapt its timing and feeling rather than following a fixed cue.

So, would you go to a robot concert?

Journal Reference: Asad Ali Shahid et al, Robot Drummer: Learning Rhythmic Skills for Humanoid Drumming, arXiv (2025). DOI: 10.48550/arxiv.2507.11498

Tags: algorithmmusicrobot

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Mihai Andrei

Mihai Andrei

Dr. Andrei Mihai is a geophysicist and founder of ZME Science. He has a Ph.D. in geophysics and archaeology and has completed courses from prestigious universities (with programs ranging from climate and astronomy to chemistry and geology). He is passionate about making research more accessible to everyone and communicating news and features to a broad audience.

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