As robots and other intelligent agents move from simple environments and problems to more complex, unstructured settings, manually programming their behavior has become …
NM Shafiullah, Z Cui… - Advances in neural …, 2022 - proceedings.neurips.cc
While behavior learning has made impressive progress in recent times, it lags behind computer vision and natural language processing due to its inability to leverage large …
Imitating human demonstrations is a promising approach to endow robots with various manipulation capabilities. While recent advances have been made in imitation learning and …
Imitation learning from human demonstrations is a promising paradigm for teaching robots manipulation skills in the real world. However, learning complex long-horizon tasks often …
J Zhang, Y Tang, H Wang, K Xu - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
High-dimensional nonlinear state estimation is at the heart of inertial-aided navigation systems (INS). Traditional methods usually rely on good initialization and find difficulty in …
Imitation learning techniques aim to mimic human behavior in a given task. An agent (a learning machine) is trained to perform a task from demonstrations by learning a mapping …
Construction robots continue to be increasingly deployed on construction sites to assist human workers in various tasks to improve safety, efficiency, and productivity. Due to the …
C Yang, C Chen, W He, R Cui… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
This paper proposes an enhanced robot skill learning system considering both motion generation and trajectory tracking. During robot learning demonstrations, dynamic …
C Lynch, P Sermanet - arXiv preprint arXiv:2005.07648, 2020 - arxiv.org
Natural language is perhaps the most flexible and intuitive way for humans to communicate tasks to a robot. Prior work in imitation learning typically requires each task be specified with …