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 …

A review of robotic assembly strategies for the full operation procedure: planning, execution and evaluation

Y Jiang, Z Huang, B Yang, W Yang - Robotics and Computer-Integrated …, 2022 - Elsevier
The application of robots in mechanical assembly increases the efficiency of industrial
production. With the requirements of flexible manufacturing, it has become a research …

A framework for robot manipulation: Skill formalism, meta learning and adaptive control

L Johannsmeier, M Gerchow… - … Conference on Robotics …, 2019 - ieeexplore.ieee.org
In this paper we introduce a novel framework for expressing and learning force-sensitive
robot manipulation skills. It is based on a formalism that extends our previous work on …

State-of-the-Art control strategies for robotic PiH assembly

J Jiang, Z Huang, Z Bi, X Ma, G Yu - Robotics and Computer-Integrated …, 2020 - Elsevier
Nowadays, industrial robots have been widely applied for performing position-controlled
tasks with minimum contact such as spot welding, spray painting, packing, and material …

The state of the art of search strategies in robotic assembly

J Jiang, L Yao, Z Huang, G Yu, L Wang, Z Bi - Journal of Industrial …, 2022 - Elsevier
Assembly robots have been widely used in the manufacturing industry. However, performing
precise assembly tasks still poses a great challenge for robots due to numerous sources of …

Generalization of orientation trajectories and force–torque profiles for learning human assembly skill

B Ti, Y Gao, M Shi, J Zhao - Robotics and Computer-Integrated …, 2022 - Elsevier
Constructing system models in industrial tasks is difficult, especially when multiple sensing
information is involved. The peg-in-hole task is typically complex in industrial manufacturing …

Solving peg-in-hole tasks by human demonstration and exception strategies

FJ Abu-Dakka, B Nemec, A Kramberger… - Industrial Robot: An …, 2014 - emerald.com
Purpose–The purpose of this paper is to propose a new algorithm based on programming
by demonstration and exception strategies to solve assembly tasks such as peg-in-hole …

Dynamic Motion Primitives-Based Trajectory Learning for Physical Human–Robot Interaction Force Control

X Xing, K Maqsood, C Zeng, C Yang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
One promising function of interactive robots is to provide a specific interaction force to
human users. For example, rehabilitation robots are expected to promote patients' recovery …

Robotic peg-in-hole assembly based on reversible dynamic movement primitives and trajectory optimization

H Zhao, Y Chen, X Li, H Ding - Mechatronics, 2023 - Elsevier
Because of the complexity of interaction between the robot and the environment, robotic peg-
in-hole assembly has always been a hot research topic in the fields of robotics and …

Passive exercise adaptation for ankle rehabilitation based on learning control framework

FJ Abu-Dakka, A Valera, JA Escalera, M Abderrahim… - Sensors, 2020 - mdpi.com
Ankle injuries are among the most common injuries in sport and daily life. However, for their
recovery, it is important for patients to perform rehabilitation exercises. These exercises are …