This research advances hybrid soft-rigid robot simulations, achieving up to 1000 times faster computations through analytical derivatives in the GVS framework.

Abstract: This paper proposes a hierarchical framework for path planning and tracking control in autonomous vehicles, ensuring safe navigation and obstacle avoidance. The planning module combines ...

Researchers at Mass General Brigham have developed a series of artificial intelligence (AI) tools that uses machine learning ...

Abstract: In this article, a strategy combining reinforcement learning (RL) and model predictive control (MPC) is proposed to achieve the integrated planning and control in static unknown environment.

nSTAT is an open-source, object-oriented Matlab toolbox that implements a range of models and algorithms for neural spike train data analysis. Such data are frequently obtained from neuroscience ...