Recent advances in robot learning from demonstration
H Ravichandar, AS Polydoros… - Annual review of …, 2020 - annualreviews.org
In the context of robotics and automation, learning from demonstration (LfD) is the paradigm
in which robots acquire new skills by learning to imitate an expert. The choice of LfD over …
in which robots acquire new skills by learning to imitate an expert. The choice of LfD over …
An algorithmic perspective on imitation learning
As robots and other intelligent agents move from simple environments and problems to more
complex, unstructured settings, manually programming their behavior has become …
complex, unstructured settings, manually programming their behavior has become …
Behavior Transformers: Cloning modes with one stone
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 …
computer vision and natural language processing due to its inability to leverage large …
What matters in learning from offline human demonstrations for robot manipulation
Imitating human demonstrations is a promising approach to endow robots with various
manipulation capabilities. While recent advances have been made in imitation learning and …
manipulation capabilities. While recent advances have been made in imitation learning and …
ASRO-DIO: Active subspace random optimization based depth inertial odometry
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 …
systems (INS). Traditional methods usually rely on good initialization and find difficulty in …
Imitation learning: A survey of learning methods
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 …
learning machine) is trained to perform a task from demonstrations by learning a mapping …
Language conditioned imitation learning over unstructured data
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 …
tasks to a robot. Prior work in imitation learning typically requires each task be specified with …
Human–robot collaboration in construction: Classification and research trends
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 …
human workers in various tasks to improve safety, efficiency, and productivity. Due to the …
Robot learning system based on adaptive neural control and dynamic movement primitives
This paper proposes an enhanced robot skill learning system considering both motion
generation and trajectory tracking. During robot learning demonstrations, dynamic …
generation and trajectory tracking. During robot learning demonstrations, dynamic …
Robot learning from demonstration in robotic assembly: A survey
Learning from demonstration (LfD) has been used to help robots to implement manipulation
tasks autonomously, in particular, to learn manipulation behaviors from observing the motion …
tasks autonomously, in particular, to learn manipulation behaviors from observing the motion …