Nov 23, 2021 · The results indicated that our framework allowed the robot to learn skills from complex and long-horizon manipulation tasks that outperformed ...

The results indicated that our framework allowed the robot to learn skills from complex and long-horizon manipulation tasks that outperformed baselines both in ...

Oct 23, 2022 · Abstract:To assist with everyday human activities, robots must solve complex long-horizon tasks and generalize to new settings.

This work proposes a new framework to facilitate robot skill generalization. The basic idea lies in that the learned skills are first segmented into a sequence ...

we show that the framework can progressively learn skills to solve complex long-horizon tasks and generalize the learned skills to new task goals and ...

Aug 2, 2024 · Therblig-Based Backbone Framework (TBBF): A framework that decomposes complex tasks into fundamental units, enhancing generalization and ...

Aug 20, 2020 · A Framework of Robot Skill Learning From Complex and Long-Horizon Tasks · Computer Science, Engineering. IEEE Transactions on Automation Science ...

Abstract: Imitation learning from human demonstrations is a promising paradigm for teaching robots manipulation skills in the real world.

Abstract— To support daily human tasks, robots must handle complex, long-term tasks and continuously learn new skills. Deep reinforcement learning (DRL) ...

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