NanoBench: A Multi-Task Benchmark Dataset for Nano-Quadrotor System Identification, Control, and State Estimation

arXiv:2603.09908 · cs.RO, cs.SY, eess.SY · Submitted 2026-03-10 · Read on arXiv

cs.RO, cs.SY, eess.SY

Submitted: 2026-03-10

Updated: 2026-09-16

Code: https://github.com/syediu/nanobench

Project page: https://syediu.github.io/assets/img/nanobench

Terminology

Benchmark — 20× in this paper · explained in 2 episodes
System Identification — 16× in this paper · explained in 3 episodes
Accuracy — 10× in this paper · explained in 1 episode
Alignment — 9× in this paper · explained in 1 episode
Benchmarking — 7× in this paper · explained in 3 episodes
PID Controller — 6× in this paper · explained in 2 episodes
Consistency — 4× in this paper · explained in 3 episodes
Reinforcement Learning — 4× in this paper · explained in 4 episodes
Calibration — 2× in this paper · explained in 7 episodes
International Conference on Robotics and Automation — 2× in this paper
Adam — 1× in this paper · explained in 2 episodes
Deep Reinforcement Learning — 1× in this paper · explained in 2 episodes
Downstream Tasks — 1× in this paper · explained in 2 episodes
Fidelity — 1× in this paper · explained in 2 episodes
Probabilistic Forecasting — 1× in this paper · explained in 3 episodes
Robustness — 1× in this paper · explained in 5 episodes
Sim-to-Real Transfer — 1× in this paper · explained in 2 episodes
Trace — 1× in this paper · explained in 2 episodes
Transformer — 1× in this paper · explained in 2 episodes

Sources

AeroCast: Probabilistic 3D Trajectory Prediction for Non-Cooperative Aerial Obstacles via Transformer-MDN Architecture

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