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Dyna-LfLH: Learning Agile Navigation in Dynamic Environments from Learned Hal...
Dyna-LfLH is a self-supervised machine learning method for mobile robot navigation in dynamic environments. -
Vehicle Models and Obstacle Avoidance Formulations
The dataset used in this paper is a set of vehicle models and obstacle avoidance formulations. -
End-to-End Motion Planning of Quadrotors Using Deep Reinforcement Learning
The proposed method uses raw depth images obtained from a front-facing camera and directly generates local motion plans in the form of smooth motion primitives that move a... -
Autoencoder Trajectory Primitive (ATP)
The dataset used in the paper is a collection of demonstrated trajectories for a robotic system. -
Motion Planning Diffusion Model
The dataset used in the paper is a set of images and videos of objects moving in different environments, used for training and testing the Motion Planning Diffusion model. -
Lego dataset
The Lego dataset is used for obstacle avoidance planning.
