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Peg-in-hole (PiH) assembly is a fundamental yet challenging robotic manipulation task. While reinforcement learning (RL) has shown promise in tackling such tasks, it requires extensive exploration. In this paper, we propose a novel…

This paper uses robots to assemble pegs into holes on surfaces with different colors and textures. It especially targets at the problem of peg-in-hole assembly with initial position uncertainty. Two in-hand cameras and a force-torque sensor…

Robotics · Computer Science 2019-02-26 Joshua C. Triyonoputro , Weiwei Wan , Kensuke Harada

This paper demonstrates a visual servoing method which is robust towards uncertainties related to system calibration and grasping, while significantly reducing the peg-in-hole time compared to classical methods and recent attempts based on…

Robotics · Computer Science 2020-11-13 Rasmus Laurvig Haugaard , Jeppe Langaa , Christoffer Sloth , Anders Glent Buch

Many industrial assembly tasks involve peg-in-hole like insertions with sub-millimeter tolerances which are challenging, even in highly calibrated robot cells. Visual servoing can be employed to increase the robustness towards uncertainties…

Robotics · Computer Science 2022-06-20 Rasmus Laurvig Haugaard , Anders Glent Buch , Thorbjørn Mosekjær Iversen

Industrial robot manipulators are playing a more significant role in modern manufacturing industries. Though peg-in-hole assembly is a common industrial task which has been extensively researched, safely solving complex high precision…

The development of a generic and effective force model for semi-automatic or manual virtual assembly with haptic support is not a trivial task, especially when the assembly constraints involve complex features of arbitrary shape. The…

Human-Computer Interaction · Computer Science 2017-12-05 Morad Behandish , Horea T. Ilies

This paper primarily focuses on evaluating and benchmarking the robustness of visual representations in the context of object assembly tasks. Specifically, it investigates the alignment and insertion of objects with geometrical extrusions…

Robotics · Computer Science 2024-02-08 Chahyon Ku , Carl Winge , Ryan Diaz , Wentao Yuan , Karthik Desingh

Robotic peg-in-hole assembly remains a challenging task due to its high accuracy demand. Previous work tends to simplify the problem by restricting the degree of freedom of the end-effector, or limiting the distance between the target and…

Robotics · Computer Science 2023-01-20 Bo-Siang Lu , Tung-I Chen , Hsin-Ying Lee , Winston H. Hsu

For peg-in-hole tasks, humans rely on binocular visual perception to locate the peg above the hole surface and then proceed with insertion. This paper draws insights from this behavior to enable agents to learn efficient assembly strategies…

Robotics · Computer Science 2026-05-19 Zichun Xu , Zhaomin Wang , Yuntao Li , Lei Zhuang , Zhiyuan Zhao , Guocai Yang , Jingdong Zhao

Robust and adaptive robotic peg-in-hole assembly under tight tolerances is critical to various industrial applications. However, it remains an open challenge due to perceptual and physical uncertainties from contact-rich interactions that…

[...] Specifically, the problem addressed is an assembly one known as the peg-in-hole task. In this case, two autonomous manipulators must carry cooperatively (at kinematic level) a peg and must insert it into an hole fixed in the…

Robotics · Computer Science 2025-05-13 Davide Torielli

Achieving zero-shot peg insertion, where inserting an arbitrary peg into an unseen hole without task-specific training, remains a fundamental challenge in robotics. This task demands a highly generalizable perception system capable of…

Robotics · Computer Science 2025-03-11 Masaru Yajima , Kei Ota , Asako Kanezaki , Rei Kawakami

One of the main challenges in peg-in-a-hole (PiH) insertion tasks is in handling the uncertainty in the location of the target hole. In order to address it, high-dimensional sensor inputs from sensor modalities such as vision, force/torque…

Robotics · Computer Science 2020-07-24 Yifang Liu , Diego Romeres , Devesh K. Jha , Daniel Nikovski

Generalization is important for peg-in-hole assembly, a fundamental industrial operation, to adapt to dynamic industrial scenarios and enhance manufacturing efficiency. While prior work has enhanced generalization ability for pose…

Robotics · Computer Science 2025-04-08 Xinyu Liu , Aljaz Kramberger , Leon Bodenhagen

We present the design of a learning-based compliance controller for assembly operations for industrial robots. We propose a solution within the general setting of learning from demonstration (LfD), where a nominal trajectory is provided…

Robotics · Computer Science 2021-11-23 Devesh K. Jha , Diego Romeres , William Yerazunis , Daniel Nikovski

This paper proposes a feature-based Visual Servoing (VS) method for insertion task skills. A camera mounted on the robot's end-effector provides the pose relative to a cylinder (hole), allowing a contact-free and damage-free search of the…

Robotics · Computer Science 2024-05-30 Antonio Rosales , Tapio Heikkilä , Markku Suomalainen

Robotic peg-in-hole assembly represents a critical area of investigation in robotic automation. The fusion of reinforcement learning (RL) and deep neural networks (DNNs) has yielded remarkable breakthroughs in this field. However, existing…

Robotics · Computer Science 2023-07-12 Ruochen Yin , Huapeng Wu , Ming Li , Yong Cheng , Yuntao Song , Heikki Handroos

Insertion operations are a critical element of most robotic assembly operation, and peg-in-hole (PiH) insertion is one of the most widely studied tasks in the industrial and academic manipulation communities. PiH insertion is in fact an…

Robotics · Computer Science 2022-04-25 Devesh K. Jha , Diego Romeres , Siddarth Jain , William Yerazunis , Daniel Nikovski

In the peg insertion task, human pays attention to the seam between the peg and the hole and tries to fill it continuously with visual feedback. By imitating the human behavior, we design architectures with position and orientation…

Robotics · Computer Science 2022-04-21 Liang Xie , Hongxiang Yu , Yinghao Zhao , Haodong Zhang , Zhongxiang Zhou , Minhang Wang , Yue Wang , Rong Xiong

The study addresses the foundational and challenging task of peg-in-hole assembly in robotics, where misalignments caused by sensor inaccuracies and mechanical errors often result in insertion failures or jamming. This research introduces…

Robotics · Computer Science 2023-12-06 Geonhyup Lee , Joosoon Lee , Sangjun Noh , Minhwan Ko , Kangmin Kim , Kyoobin Lee
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