TaskNet: A Neural Task Planner for Autonomous Excavator

2021 IEEE International Conference on Robotics and Automation (ICRA)(2021)

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摘要
We present a novel task planner - TaskNet for an autonomous excavator based on a data-driven method, which plans feasible task-level sequence by learning from demonstration data. Given a high-level excavation objective, our TaskNet planner can decompose it into sub-tasks, each of which can be further decomposed into task primitives with specifications. We train our TaskNet using an excavation trac...
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关键词
Learning systems,Three-dimensional displays,Conferences,Loading,Excavation,Software systems,Hardware
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