Results 31 to 40 of about 5,552,368 (307)

HPHS: Hierarchical Planning based on Hybrid Frontier Sampling for Unknown Environments Exploration [PDF]

IEEE/RJS International Conference on Intelligent RObots and Systems
Rapid sampling from the environment to acquire available frontier points and timely incorporating them into subsequent planning to reduce fragmented regions are critical to improve the efficiency of autonomous exploration.
Shijun Long, Ying Li, Chenming Wu, Bin Xu, Wei Fan   +4 more
semanticscholar   +1 more source

HDDL: An Extension to PDDL for Expressing Hierarchical Planning Problems

AAAI Conference on Artificial Intelligence, 2020
The research in hierarchical planning has made considerable progress in the last few years. Many recent systems do not rely on hand-tailored advice anymore to find solutions, but are supposed to be domain-independent systems that come with sophisticated ...
D. Höller, G. Behnke, P. Bercher, Susanne Biundo-Stephan, H. Fiorino, D. Pellier, R. Alford   +6 more
semanticscholar   +1 more source

Hierarchical Model-Based Imitation Learning for Planning in Autonomous Driving [PDF]

IEEE/RJS International Conference on Intelligent RObots and Systems, 2022
We demonstrate the first large-scale application of model-based generative adversarial imitation learning (MGAIL) to the task of dense urban self-driving.
Eli Bronstein, Mark Palatucci, Dominik Notz, B. White, Alex Kuefler, Yiren Lu, Supratik Paul, Payam Nikdel, Paul Mougin, Hongge Chen, Justin Fu, Austin Abrams, Punit Shah, Evan Racah, Benjamin Frenkel, Shimon Whiteson, Drago Anguelov   +16 more
semanticscholar   +1 more source

Active Predictive Coding: A Unified Neural Framework for Learning Hierarchical World Models for Perception and Planning [PDF]

Neural Computation, 2022
There is growing interest in predictive coding as a model of how the brain learns through predictions and prediction errors. Predictive coding models have traditionally focused on sensory coding and perception. Here we introduce active predictive coding (
Rajesh P. N. Rao, Dimitrios C. Gklezakos, V. Sathish   +2 more
semanticscholar   +1 more source

Föreställningar om kunskap och lärande i lärares planeringssamtal i matematik och historia

Utbildning & Lärande, 2023
This article reports a study of teachers’ lesson planning in a collegial setting. The school employed scheduled time every week for team planning in different school subjects. In this article, 44 planning sessions in Mathematics and History are analysed
Ann-Christin Randahl, Yvonne Liljekvist, Martin Jakobsson, Kenneth Nordgren   +3 more
doaj   +1 more source

A framework for health care planning and control [PDF]

, 2011
Rising expenditures spur health care organizations to organize their processes more efficiently and effectively. Unfortunately, health care planning and control lags far behind manufacturing planning and control.
Hans, Erwin W., Houdenhoven, Mark van, Hulshof, Peter J.H.   +2 more
core   +3 more sources

Hi-Val: Iterative Learning of Hierarchical Value Functions for Policy Generation [PDF]

, 2019
Task decomposition is effective in manifold applications where the global complexity of a problem makes planning and decision-making too demanding. This is true, for example, in high-dimensional robotics domains, where (1) unpredictabilities and modeling
D Silver, D Silver, G Chowdhary, G Konidaris, J Hostetler, Levente Kocsis, M Jun, P Auer, RS Sutton, TG Dietterich   +9 more
core   +1 more source

Hierarchical Path-Planning for Mobile Robots Using a Skeletonization-Informed Rapidly Exploring Random Tree*

Applied Sciences, 2020
An efficient, hierarchical, two-dimensional (2D) path-planning method for large complex environments is presented in this paper. For mobile robots moving in 2D environments, conventional path-planning algorithms employ single-layered maps; the proposed ...
Hyejeong Ryu
doaj   +1 more source

Learning Hybrid Object Kinematics for Efficient Hierarchical Planning Under Uncertainty [PDF]

IEEE/RJS International Conference on Intelligent RObots and Systems, 2019
Sudden changes in the dynamics of robotic tasks, such as contact with an object or the latching of a door, are often viewed as inconvenient discontinuities that make manipulation difficult. However, when these transitions are well-understood, they can be
Ajinkya Jain, S. Niekum
semanticscholar   +1 more source

HIERARCHICAL PATH PLANNING FOR WALKING (ALMOST) ANYWHERE [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018
Computerized path planning, not constrained to transportation networks, may be useful in a range of settings, from search and rescue to archaeology. This paper develops a method for general path planning intended to work across arbitrary distances and at
K. Landmark, E. Messel
doaj   +1 more source