A survey of imitation learning: Algorithms, recent developments, and challenges

M Zare, PM Kebria, A Khosravi… - arXiv preprint arXiv …, 2023 - arxiv.org
In recent years, the development of robotics and artificial intelligence (AI) systems has been
nothing short of remarkable. As these systems continue to evolve, they are being utilized in …

Robotics: five senses plus one—an overview

RN Albustanji, S Elmanaseer, AAA Alkhatib - Robotics, 2023 - mdpi.com
Robots can be equipped with a range of senses to allow them to perceive and interact with
the world in a more natural and intuitive way. These senses can include vision, hearing …

Learning from demonstrations in human–robot collaborative scenarios: A survey

AD Sosa-Ceron, HG Gonzalez-Hernandez… - Robotics, 2022 - mdpi.com
Human–Robot Collaboration (HRC) is an interdisciplinary research area that has gained
attention within the smart manufacturing context. To address changes within manufacturing …

Industrial robot programming methods: A scoping review

O Heimann, J Guhl - 2020 25th IEEE International Conference …, 2020 - ieeexplore.ieee.org
Easy-to-use programming methods for robotic manufacturing systems are a key element in
enabling a wider audience to benefit from increasing automation. This paper provides an …

Transfer learning of human preferences for proactive robot assistance in assembly tasks

H Nemlekar, N Dhanaraj, A Guan, SK Gupta… - Proceedings of the …, 2023 - dl.acm.org
We focus on enabling robots to proactively assist humans in assembly tasks by adapting to
their preferred sequence of actions. Much work on robot adaptation requires human …

A unified parametric representation for robotic compliant skills with adaptation of impedance and force

C Zeng, Y Li, J Guo, Z Huang, N Wang… - … ASME Transactions on …, 2021 - ieeexplore.ieee.org
Robotic compliant manipulation is a very challenging but urgent research spot in the domain
of robotics. One difficulty lies in the lack of a unified representation for encoding and learning …

From teleoperation to autonomous robot-assisted microsurgery: A survey

D Zhang, W Si, W Fan, Y Guan, C Yang - Machine Intelligence Research, 2022 - Springer
Robot-assisted microsurgery (RAMS) has many benefits compared to traditional
microsurgery. Microsurgical platforms with advanced control strategies, high-quality micro …

Robotic assembly strategy via reinforcement learning based on force and visual information

KH Ahn, M Na, JB Song - Robotics and Autonomous Systems, 2023 - Elsevier
Since assembly tasks are frequently performed in a wide range of industries, there have
been many efforts to develop robotic assembly strategies. However, robotic assembly is only …

A learning-based two-stage method for submillimeter insertion tasks with only visual inputs

J Zhao, Z Wang, L Zhao, H Liu - IEEE Transactions on Industrial …, 2023 - ieeexplore.ieee.org
Insertion tasks are commonly encountered in robot assembly automation. However,
traditional vision positioning methods are difficult to identify the target positions exactly due …

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 …