Robot learning from demonstration in robotic assembly: A survey

Z Zhu, H Hu - Robotics, 2018 - mdpi.com
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 …

Intuitive task-level programming by demonstration through semantic skill recognition

F Steinmetz, V Nitsch, F Stulp - IEEE Robotics and Automation …, 2019 - ieeexplore.ieee.org
Intuitive robot programming for non-experts will be essential to increasing automation in
small and medium-sized enterprises. Programming by demonstration (PbD) is a fast and …

Capability-based frameworks for industrial robot skills: a survey

M Pantano, T Eiband, D Lee - 2022 IEEE 18th International …, 2022 - ieeexplore.ieee.org
The research community is puzzled with words like skill, action, atomic unit and others when
describing robots' capabilities. However, for giving the possibility to integrate capabilities in …

Simplified programming of re-usable skills on a safe industrial robot: Prototype and evaluation

M Stenmark, M Haage, EA Topp - Proceedings of the 2017 ACM/IEEE …, 2017 - dl.acm.org
This paper presents a study on iconic programming support for mainly position-based lead-
through programming of an ABB YuMi collaborative robot. A prototype tool supporting a …

[HTML][HTML] Opportunities and challenges in applying reinforcement learning to robotic manipulation: An industrial case study

T Toner, M Saez, DM Tilbury, K Barton - Manufacturing Letters, 2023 - Elsevier
As moves towards a more agile paradigm, industrial robots are expected to perform more
complex tasks in less structured environments, complicating the use of traditional …

Toward an interactive reinforcement based learning framework for human robot collaborative assembly processes

SC Akkaladevi, M Plasch, S Maddukuri… - Frontiers in Robotics …, 2018 - frontiersin.org
As manufacturing demographics change from mass production to mass customization,
advances in human-robot interaction in industries have taken many forms. However, the …

Accelerating interactive reinforcement learning by human advice for an assembly task by a cobot

J De Winter, A De Beir, I El Makrini, G Van de Perre… - Robotics, 2019 - mdpi.com
The assembly industry is shifting more towards customizable products, or requiring
assembly of small batches. This requires a lot of reprogramming, which is expensive …

Simulation-aided learning from demonstration for robotic lego construction

R Liu, A Chen, X Luo, C Liu - arXiv preprint arXiv:2309.11010, 2023 - arxiv.org
Recent advancements in manufacturing have a growing demand for fast, automatic
prototyping (ie assembly and disassembly) capabilities to meet users' needs. This paper …

Towards reinforcement based learning of an assembly process for human robot collaboration

SC Akkaladevi, M Plasch, A Pichler, M Ikeda - Procedia Manufacturing, 2019 - Elsevier
In an era of transformation in manufacturing demographics from mass production to mass
customization, advances on human-robot interaction in industries has taken many forms …

[HTML][HTML] A real-time path-planning algorithm with extremely tight maneuvering capabilities for hyper-redundant manipulators

Y Bulut, ES Conkur - … Science and Technology, an International Journal, 2021 - Elsevier
This paper presents a simple, effective and robust geometrical approach for path-planning of
redundant/hyper-redundant manipulators in real-time within confined spaces cluttered with …