Dataset for PITNet: Physics-Informed Trajectory Network for Smooth 7-DoF Robotic Arm Trajectories in Dynamic Environments
收藏Mendeley Data2026-04-09 收录
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The dataset consists of synthetic 7-DoF robotic joint trajectories generated using cubic polynomial baseline paths with added sinusoidal variations and Gaussian noise. Each trajectory is smoothed via cubic spline interpolation and concatenated across five configurations, resulting in time points and joint angles q_road ∈R^(250×7) . The perturbations emulate real-world motion variability for training PITNet.
