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Hierarchical Motion Planning and Tracking for Autonomous Vehicles Using Global Heuristic Based Potential Field and Reinforcement Learning Based Predictive Control

IEEE transactions on intelligent transportation systems (Print), 2023
The autonomous vehicle is widely applied in various ground operations, in which motion planning and tracking control are becoming the key technologies to achieve autonomous driving.
Guodong Du   +4 more
semanticscholar   +1 more source

Simple Hierarchical Planning with Diffusion

International Conference on Learning Representations
Diffusion-based generative methods have proven effective in modeling trajectories with offline datasets. However, they often face computational challenges and can falter in generalization, especially in capturing temporal abstractions for long-horizon ...
Chang Chen   +4 more
semanticscholar   +1 more source

Hierarchical Monte-Carlo Planning

Proceedings of the AAAI Conference on Artificial Intelligence, 2015
Monte-Carlo Tree Search, especially UCT and its POMDP version POMCP, have demonstrated excellent performanceon many problems. However, to efficiently scale to large domains one should also exploit hierarchical structure if present. In such hierarchical domains, finding rewarded states typically requires to search deeply; covering enough
Ngo, Vien, Toussaint, Marc
openaire   +1 more source

Hierarchical planning using abstraction

IEE Proceedings - Control Theory and Applications, 1995
Summary: The hierarchical nonlinear planear, AbNLP, is introduced and its main features described, including the novel mechanisms by which abstraction is encapsulated within abstract operators, and possible interactions between developing levels of plan description are resolved.
Fox, M., Long, D.
openaire   +2 more sources

HGS-Planner: Hierarchical Planning Framework for Active Scene Reconstruction Using 3D Gaussian Splatting

IEEE International Conference on Robotics and Automation
In complex missions such as search and rescue, robots must make intelligent decisions in unknown environments, relying on their ability to perceive and understand their surroundings.
Zijun Xu   +8 more
semanticscholar   +1 more source

Using Deep Learning to Bootstrap Abstractions for Hierarchical Robot Planning

Adaptive Agents and Multi-Agent Systems, 2022
This paper addresses the problem of learning abstractions that boost robot planning performance while providing strong guarantees of reliability. Although state-of-the-art hierarchical robot planning algorithms allow robots to efficiently compute long ...
Naman Shah, Siddharth Srivastava
semanticscholar   +1 more source

Human-Aware Robot Task Planning Based on a Hierarchical Task Model

IEEE Robotics and Automation Letters, 2021
When robots work with humans for collaborative task, they need to plan their actions while taking humans’ actions into account. However, due to the complexity of the tasks and stochastic nature of human collaborators, it is quite challenging for the ...
Yujiao Cheng, Liting Sun, M. Tomizuka
semanticscholar   +1 more source

Hierarchical material requirements planning

International Journal of Production Research, 1981
Abstract This paper reports on a simulation study of hierarchical planning methods, which can be utilized in connection with material requirements planning. The company considered produces one final product having a complex structure. The factory is functionally organized. Two different cases have been studied.
HÅKAN ANDERSSON   +2 more
openaire   +1 more source

Formalizing planning knowledge for hierarchical planning

Computational Intelligence, 1990
A hierarchical planning system achieves efficiency by planning with the most important conditions first, and considering details later in the planning process. Few attempts have been made to formalize the structure of the planning knowledge for hierarchical planning.
openaire   +2 more sources

Improved hierarchical production planning

Journal of Operations Management, 1989
AbstractThis article addresses an overview of development and application of an integrated production planning model within the fiberglas industry. The system described represents a second generation in the development cycle of hierarchically based models within this batch production industry.
G.Keong Leong   +2 more
openaire   +1 more source

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