Abstract: We propose a general attack framework based on evolutionary algorithms to quickly and efficiently generate low-perturbation adversarial samples for 3D point cloud data. Specifically, we ...
Predicting human motion plays a crucial role in ensuring a safe and effective human-robot close collaboration in intelligent remanufacturing systems of the future. Existing works can be categorized ...
Real-Time 3D Motion Prediction for Human-Robot Collaboration via Bayesian-Optimized Diffusion Models
Abstract: Human motion prediction is a cornerstone of human-robot collaboration (HRC), as robots need to infer future movements of human workers based on observed motion cues to proactively plan their ...
Aardman's iconic shows, shorts and feature films require painstaking craftsmanship. An interactive exhibition at the Young V&A museum in London brings museumgoers behind the scenes ...
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