Obstacles and opportunities for learning from demonstration in practical industrial assembly: A systematic literature review

VH Moreno, S Jansing, M Polikarpov… - Robotics and Computer …, 2024 - Elsevier
Learning from demonstration is one of the most promising methods to counteract the
challenging long-term trends in repetitive industrial assembly. It offers not only a …

Autonomous navigation for robot-assisted intraluminal and endovascular procedures: A systematic review

A Pore, Z Li, D Dall'Alba, A Hernansanz… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Increased demand for less invasive procedures has accelerated the adoption of Intraluminal
Procedures (IP) and Endovascular Interventions (EI) performed through body lumens and …

Interactive imitation learning in robotics: A survey

C Celemin, R Pérez-Dattari, E Chisari… - … and Trends® in …, 2022 - nowpublishers.com
Interactive Imitation Learning in Robotics: A Survey Page 1 Interactive Imitation Learning in
Robotics: A Survey Page 2 Other titles in Foundations and Trends® in Robotics A Survey on …

Robot policy improvement with natural evolution strategies for stable nonlinear dynamical system

Y Hu, G Chen, Z Li, A Knoll - IEEE Transactions on Cybernetics, 2022 - ieeexplore.ieee.org
Robot learning through kinesthetic teaching is a promising way of cloning human behaviors,
but it has its limits in the performance of complex tasks with small amounts of data, due to …

Prodmp: A unified perspective on dynamic and probabilistic movement primitives

G Li, Z Jin, M Volpp, F Otto, R Lioutikov… - IEEE Robotics and …, 2023 - ieeexplore.ieee.org
Movement Primitives (MPs) are a well-known concept to represent and generate modular
trajectories. MPs can be broadly categorized into two types:(a) dynamics-based approaches …

Modified dynamic movement primitives: robot trajectory planning and force control under curved surface constraints

L Han, H Yuan, W Xu, Y Huang - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Dynamic movement primitives (DMPs) have been widely applied in robot motion planning
and control. However, in some special cases, original discrete DMP fails to generalize …

[HTML][HTML] Learning periodic skills for robotic manipulation: Insights on orientation and impedance

F Abu-Dakka, M Saveriano, L Peternel - Robotics and Autonomous …, 2024 - Elsevier
Many daily tasks exhibit a periodic nature, necessitating that robots possess the ability to
execute them either alone or in collaboration with humans. A widely used approach to …

[HTML][HTML] Continual learning from demonstration of robotics skills

S Auddy, J Hollenstein, M Saveriano… - Robotics and …, 2023 - Elsevier
Methods for teaching motion skills to robots focus on training for a single skill at a time.
Robots capable of learning from demonstration can considerably benefit from the added …

Interactive imitation learning of bimanual movement primitives

G Franzese, L de Souza Rosa… - IEEE/ASME …, 2023 - ieeexplore.ieee.org
Performing bimanual tasks with dual robotic setups can drastically increase the impact on
industrial and daily life applications. However, performing a bimanual task brings many …

A passivity-based approach for variable stiffness control with dynamical systems

Y Michel, M Saveriano, D Lee - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In this paper, we present a controller that combines motion generation and control in one
loop, to endow robots with reactivity and safety. In particular, we propose a control approach …