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 …

[HTML][HTML] Human–robot collaboration and machine learning: A systematic review of recent research

F Semeraro, A Griffiths, A Cangelosi - Robotics and Computer-Integrated …, 2023 - Elsevier
Technological progress increasingly envisions the use of robots interacting with people in
everyday life. Human–robot collaboration (HRC) is the approach that explores the …

Affordances from human videos as a versatile representation for robotics

S Bahl, R Mendonca, L Chen… - Proceedings of the …, 2023 - openaccess.thecvf.com
Building a robot that can understand and learn to interact by watching humans has inspired
several vision problems. However, despite some successful results on static datasets, it …

An algorithmic perspective on imitation learning

T Osa, J Pajarinen, G Neumann… - … and Trends® in …, 2018 - nowpublishers.com
As robots and other intelligent agents move from simple environments and problems to more
complex, unstructured settings, manually programming their behavior has become …

A review of tactile information: Perception and action through touch

Q Li, O Kroemer, Z Su, FF Veiga… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Tactile sensing is a key sensor modality for robots interacting with their surroundings. These
sensors provide a rich and diverse set of data signals that contain detailed information …

Object handovers: a review for robotics

V Ortenzi, A Cosgun, T Pardi, WP Chan… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
This article surveys the literature on human–robot object handovers. A handover is a
collaborative joint action, where an agent, the giver, gives an object to another agent, the …

Robot adaptation to human physical fatigue in human–robot co-manipulation

L Peternel, N Tsagarakis, D Caldwell, A Ajoudani - Autonomous Robots, 2018 - Springer
In this paper, we propose a novel method for human–robot collaboration, where the robot
physical behaviour is adapted online to the human motor fatigue. The robot starts as a …

Trends of human-robot collaboration in industry contexts: Handover, learning, and metrics

A Castro, F Silva, V Santos - Sensors, 2021 - mdpi.com
Repetitive industrial tasks can be easily performed by traditional robotic systems. However,
many other works require cognitive knowledge that only humans can provide. Human-Robot …

[HTML][HTML] Orienting safety assurance with outcomes of hazard analysis and risk assessment: A review of the ISO 15066 standard for collaborative robot systems

P Chemweno, L Pintelon, W Decre - Safety Science, 2020 - Elsevier
Close interactions with a human operator are an important safety concern for collaborative
robot systems. For safety assurance, robot integrators are required to demonstrate that they …

A survey of behavioral models for social robots

O Nocentini, L Fiorini, G Acerbi, A Sorrentino… - Robotics, 2019 - mdpi.com
The cooperation between humans and robots is becoming increasingly important in our
society. Consequently, there is a growing interest in the development of models that can …