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) ...
Duration: 59:53
Posted: Mar 7, 2022
Posted: Mar 7, 2022
Missing: Framework | Show results with:Framework