Results 11 to 20 of about 5,552,368 (307)

ML-Plan: Automated machine learning via hierarchical planning [PDF]

open access: yesMachine Learning, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mohr, Felix   +2 more
openaire   +3 more sources

The PANDA Framework for Hierarchical Planning [PDF]

open access: yesKI - Künstliche Intelligenz, 2021
AbstractDuring the last years, much progress has been made in hierarchical planning towards domain-independent systems that come with sophisticated techniques to solve planning problems instead of relying on advice in the input model. Several of these novel methods have been integrated into thePANDA framework, which is a software system to reason about
Daniel Höller   +3 more
openaire   +2 more sources

Autonomous Flight with Hierarchical Planning

open access: yesCEAS Aeronautical Journal
Abstract A hierarchical planning method with three levels was demonstrated in simulation and in autonomous flight on a Black Hawk helicopter. The reactive terrain avoidance software has been previously flown and has demonstrated the ability to sense and avoid previously unknown terrain while autonomously guiding the aircraft to a destination ...
Chad Goerzen   +9 more
openaire   +2 more sources

Material Recognition CNNs and Hierarchical Planning for Biped Robot Locomotion on Slippery Terrain [PDF]

open access: yesIEEE-RAS International Conference on Humanoid Robots, 2017
In this paper we tackle the problem of visually predicting surface friction for environments with diverse surfaces, and integrating this knowledge into biped robot locomotion planning.
Brandao, Martim   +3 more
core   +2 more sources

Hierarchical planning under uncertainty

open access: yes, 2018
The recent years have seen significant progress in the fields of computer science and the engineering sciences, leading to a plethora of systems and services aimed at simplifying the organization of everyday life. The great potential of these utilities is however hindered by their complexity as well as the complexity of their interplay.
Felix Richter
openaire   +2 more sources

Compositional Foundation Models for Hierarchical Planning [PDF]

open access: yesNeural Information Processing Systems, 2023
To make effective decisions in novel environments with long-horizon goals, it is crucial to engage in hierarchical reasoning across spatial and temporal scales.
Anurag Ajay   +9 more
semanticscholar   +1 more source

SkillDiffuser: Interpretable Hierarchical Planning via Skill Abstractions in Diffusion-Based Task Execution [PDF]

open access: yesComputer Vision and Pattern Recognition, 2023
Diffusion models have demonstrated strong potential for robotic trajectory planning. However, generating coherent trajectories from high-level instructions remains challenging, especially for long-range composition tasks requiring multiple sequential ...
Zhixuan Liang   +5 more
semanticscholar   +1 more source

Hierarchical Planning and Control for Box Loco-Manipulation [PDF]

open access: yesProceedings of the ACM on Computer Graphics and Interactive Techniques, 2023
Humans perform everyday tasks using a combination of locomotion and manipulation skills. Building a system that can handle both skills is essential to creating virtual humans.
Zhaoming Xie   +4 more
semanticscholar   +1 more source

Hierarchical Planning Through Goal-Conditioned Offline Reinforcement Learning [PDF]

open access: yesIEEE Robotics and Automation Letters, 2022
Offline Reinforcement learning (RL) has shown potent in many safe-critical tasks in robotics where exploration is risky and expensive. However, it still struggles to acquire skills in temporally extended tasks.
Jinning Li   +3 more
semanticscholar   +1 more source

TDLE: 2-D LiDAR Exploration with Hierarchical Planning Using Regional Division [PDF]

open access: yes2023 IEEE 19th International Conference on Automation Science and Engineering (CASE), 2023
Exploration systems are critical for enhancing the autonomy of robots. Due to the unpredictability of the future planning space, existing methods either adopt an inefficient greedy strategy, or require a lot of resources to obtain a global solution.
Xuyang Zhao   +3 more
semanticscholar   +1 more source

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