3 accepted papers
Neural motion planners can increase motion planning quality and, by reducing collision detection computations, improve runtime. However, when profiled on an accelerator-rich hardware system, neural planning contributes to more than 50% of the runtime, and 33% of the computation energy consumption, m
Deep regression networks are widely used to tackle the problem of predicting a continuous value for a given input. Task-specialized approaches for training regression networks have shown significant improvement over generic approaches, such as direct regression. More recently, a generic approach bas…
Deep neural networks are used for a wide range of regression problems. However, there exists a significant gap in accuracy between specialized approaches and generic direct regression in which a network is trained by minimizing the squared or absolute error of output labels. Prior work has shown tha…