Abstract: Accurate tracking of targets is vital for safe and reliable operations, particularly in complex and dynamic environments such as urban areas. Traditional tracking methods, including Kalman ...

Robotic systems that mirror humans both in their appearance and movements, also known as humanoid robots, could be best suited for tackling many tasks that are currently performed by human agents.

To prevent initialization failure of control points, you use the argument --init_isotropic_gs_with_all_colmap_pcl on self-captured datasets. To begin the training, select the 'start' button. The ...

Centrality measures allow to identify important nodes in networked systems. An open question in network theory is the empirical observation that a node’s centrality—whose computation requires ...

* Equal Contributions. $\ddagger$ Project Lead. Corresponding Author. Our method converges very quickly and achieves real-time rendering speed. 2024.6.25: we clean the code and add an explanation of ...

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Not having access to compact and meaningful representations is known to significantly increase the complexity of reinforcement learning (RL). For this reason, it can be useful to perform state ...

Department of Physics and Warwick Centre for Predictive Modelling, School of Engineering, University of Warwick, Coventry CV4 7AL, United Kingdom Laboratory of Computational Science and Modeling, IMX, ...