The article discusses the Robot Trajectron (RT), a new intent estimator that predicts a robot’s trajectory based on its recent position, velocity, and acceleration history. Unlike state-of-the-art models that only…
Continue readingThe paper ‘Manipulating Trajectory Prediction with Backdoors’ discusses the security implications of trajectory prediction in autonomous vehicles. The authors focus on ‘backdoors’, a security threat that has been overlooked in…
Continue readingThe paper presents a new trajectory prediction model, Social Force Generative Adversarial Network (SoFGAN), for human-robot collaboration. It uses a Generative Adversarial Network (GAN) and Social Force Model (SFM) to…
Continue readingThe study focuses on predicting human movement in dynamic environments to enable safe and effective robot navigation. The researchers present a Transformer-based architecture that uses input features such as human…
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