Motion planning among dynamic, decision-making agents with deep reinforcement learning

M Everett, YF Chen, JP How - 2018 IEEE/RSJ International …, 2018 - ieeexplore.ieee.org
… This agent-level understanding of the world therefore has important implications for the
robot’s motion plans that are not captured in the agent-free (end-to-end) framework. …

An integrated framework of decision making and motion planning for autonomous vehicles considering social behaviors

P Hang, C Lv, C Huang, J Cai, Z Hu… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
… To further advance the performance of AVs, in this study the decision making and motion
planning modules are considered in an integrated manner. Moreover, the social behaviors, …

Human-like motion planning based on game theoretic decision making

A Turnwald, D Wollherr - International Journal of Social Robotics, 2019 - Springer
… We aim to devise a robot motion planner that generates human-like motions. Additionally,
the motion planner should address the challenges of a populated, yet not crowded, …

Hierarchical reinforcement learning for autonomous decision making and motion planning of intelligent vehicles

Y Lu, X Xu, X Zhang, L Qian, X Zhou - IEEE Access, 2020 - ieeexplore.ieee.org
… algorithm for decision making and motion planning of intelligent … ) is presented for decision
making, while the motion planner in the … The motion capabilities of the ego vehicle and the sur…

Highway decision-making and motion planning for autonomous driving via soft actor-critic

X Tang, B Huang, T Liu, X Lin - IEEE Transactions on Vehicular …, 2022 - ieeexplore.ieee.org
… The focus of this paper is on the decision-making and motion planning (DMP) controller for
AD … : behavioral decision and motion planning [5]. The behavioral decision determines what …

Joint decision making and motion planning for road vehicles using particle filtering

K Berntorp, S Di Cairano - IFAC-PapersOnLine, 2016 - Elsevier
… RRTs are commonly used as path planners by generating samples such that the state
space is covered uniformly, and do not include decision making. Our motion planner is entirely …

A review of motion planning for highway autonomous driving

L Claussmann, M Revilloud, D Gruyer… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
… in this review are decision making (iii), generation (iv), and deformation (v), which we call
the motion planning scope. In recent works [32], [33], the motion planning approaches are …

Integrating task-motion planning with reinforcement learning for robust decision making in mobile robots

Y Jiang, F Yang, S Zhang, P Stone - arXiv preprint arXiv:1811.08955, 2018 - arxiv.org
motion plan by iteratively planning in the discrete space and updating relevant action costs
evaluated by the motion planner … variety of task planning, motion planning, and reinforcement …

[HTML][HTML] Real-time motion planning methods for autonomous on-road driving: State-of-the-art and future research directions

C Katrakazas, M Quddus, WH Chen, L Deka - Transportation Research Part …, 2015 - Elsevier
… for mission-critical decision making hold a significant position. While transporting passengers
or goods from a given origin to a given destination, motion planning methods incorporate …

Reactive locomotion decision-making and robust motion planning for real-time perturbation recovery

Z Gu, N Boyd, Y Zhao - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
… These motion planning problems are computationally difficult and have not been explored
… task and motion planning method. We explore a planning and decision-making framework …