Larry Matthies et al., "Learning for Autonomous Navigation: Extrapolating from Underfoot to the Far Field," Journal of Machine Learning Research 1, vol. 1, no. 48, pp. 1-10, 2005.L. Matthies, M. Turmon, A. Howard, A. Angelova, B. Tang, E. Mjolsness, Learning for autonomous ...
Dense reinforcement learning for safety validation of autonomous vehicles Article 22 March 2023 Stable training via elastic adaptive deep reinforcement learning for autonomous navigation of intelligent vehicles Article Open access 26 February 2024 RRT-guided experience generation for reinforcement learning...
Current approaches to this object navigation challenge do not test on real robots and rely on expensive semantically labeled 3D meshes. In this work, our aim is an agent that builds self-supervised models of the world via exploration, the same as a child might. We propose an end-to-end ...
Early work on a sequential machine learning technique for autonomous spacecraft navigation that is inspired by artificial neural networks is presented in this paper. This technique uses sequential function approximation, a method that has been used to analyze and solve a variety of dynamic aerospace ...
A survey on stereo vision-based autonomous navigation for multi-rotor MUAVs. Robotica. 2018;36(8):1225–43. Article Google Scholar Luong NC, Hoang DT, Gong S, Niyato D, Wang P, Liang Y-C, Kim DI. Applications of deep reinforcement learning in communications and networking: a survey. ...
This paper aims to resolve the problem of UAV robustly continuous navigation along one side of overhead transmission lines. To this end, we develop a corresponding navigation scheme and address the following three key issues. First, we integrate the tracking and deep-learning-based detection for ...
ros-planning/navigation/base_local_planner rst-tu-dortmund/teb_local_planner Trajectory modification considering dynamic constraints of autonomous robots Kinodynamic Trajectory Optimization and Control for Car-Like Robots g2o学习笔记 graph slam tutorial : 从推导到应用1 graph slam tutorial : 从推导到应用2...
Efficient learning of variable-resolution cognitive maps for autonomous indoor navigation 来自 学术范 喜欢 0 阅读量: 51 作者:A Arleo,JDR Millan,D Floreano 摘要: This paper presents an adaptive method that allows mobile robots to learn cognitive maps of indoor environments incrementally and on-line...
In the context of our benchmarking autonomous UAV navigation task, the knobs help the learning algorithms generalize well without overfiting to a specific instance of an environment.Footnote 2 Air Learning addresses the learning challenges (RL algorithm, policy design, and reward optimization) by ...
In order to make the system autonomous, both acquisition and observation of landmarks have to be carried out automatically. The paper consequently proposes a method for learning and navigation of a working environment. In particular, a two-phase procedure is proposed: first phase is for an ...