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As robotic systems become more popular in household environments, the complexity of required tasks also increases. In this work we focus on a domestic chore deemed dull by a majority of the population, the task of ironing. The presented…

Robotics · Computer Science 2017-06-19 David Estevez , Juan G. Victores , Raul Fernandez-Fernandez , Carlos Balaguer

Complicated assembly processes can be described as a sequence of two main activities: grasping and insertion. While general grasping solutions are common in industry, insertion is still only applicable to small subsets of problems, mainly…

Robotics · Computer Science 2021-04-30 Oren Spector , Dotan Di Castro

High precision assembly of mechanical parts requires accuracy exceeding the robot precision. Conventional part mating methods used in the current manufacturing requires tedious tuning of numerous parameters before deployment. We show how…

Robotics · Computer Science 2017-09-25 Tadanobu Inoue , Giovanni De Magistris , Asim Munawar , Tsuyoshi Yokoya , Ryuki Tachibana

Embodied Artificial Intelligence (EAI) is rapidly developing, gradually subverting previous autonomous systems' paradigms from isolated perception to integrated, continuous action. This transition is highly significant for industrial…

Highly constrained manipulation tasks continue to be challenging for autonomous robots as they require high levels of precision, typically less than 1mm, which is often incompatible with what can be achieved by traditional perception…

Robotics · Computer Science 2021-12-20 Andrew S. Morgan , Bowen Wen , Junchi Liang , Abdeslam Boularias , Aaron M. Dollar , Kostas Bekris

A reinforcement learning (RL) based method that enables the robot to accomplish the assembly-type task with safety regulations is proposed. The overall strategy consists of grasping and assembly, and this paper mainly considers the assembly…

Robotics · Computer Science 2023-03-15 Yi Liu

Robots have been steadily increasing their presence in our daily lives, where they can work along with humans to provide assistance in various tasks on industry floors, in offices, and in homes. Automated assembly is one of the key…

Robotics · Computer Science 2022-12-06 Devesh K. Jha , Siddarth Jain , Diego Romeres , William Yerazunis , 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 propose a versatile robotic system for kitting and assembly tasks which uses no jigs or commercial tool changers. Instead of specialized end effectors, it uses its two-finger grippers to grasp and hold tools to perform subtasks such as…

Most of industrial robotic assembly tasks today require fixed initial conditions for successful assembly. These constraints induce high production costs and low adaptability to new tasks. In this work we aim towards flexible and adaptable…

Robotics · Computer Science 2019-03-26 Yuval Litvak , Armin Biess , Aharon Bar-Hillel

Contact-rich robotic skills remain challenging for industrial robots due to tight geometric tolerances, frictional variability, and uncertain contact dynamics, particularly when using position-controlled manipulators. This paper presents a…

Robotics · Computer Science 2026-04-09 Khalil Abuibaid , Aleksandr Sidorenko , Achim Wagner , Martin Ruskowski

The accurate modeling of real-world systems and physical interactions is a common challenge towards the resolution of robotics tasks. Machine learning approaches have demonstrated significant results in the modeling of complex systems…

Robotic manipulation remains a core challenge in robotics, particularly for contact-rich tasks such as industrial assembly and disassembly. Existing datasets have significantly advanced learning in manipulation but are primarily focused on…

A common theme in robot assembly is the adoption of Manipulation Primitives as the atomic motion to compose assembly strategy, typically in the form of a state machine or a graph. While this approach has shown great performance and…

Robotics · Computer Science 2023-06-14 Nghia Vuong , Quang-Cuong Pham

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 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

We describe a force-controlled robotic gripper with built-in tactile and 3D perception. We also describe a complete autonomous manipulation pipeline consisting of object detection, segmentation, point cloud processing, force-controlled…

Robotics · Computer Science 2024-02-12 Nikolaus Correll , Dylan Kriegman , Stephen Otto , James Watson

Robust task-oriented grasp planning is vital for autonomous robotic precision assembly tasks. Knowledge of the objects' geometry and preconditions of the target task should be incorporated when determining the proper grasp to execute.…

Robotics · Computer Science 2020-11-05 Jialiang Zhao , Daniel Troniak , Oliver Kroemer

Assembly planning is the core of automating product assembly, maintenance, and recycling for modern industrial manufacturing. Despite its importance and long history of research, planning for mechanical assemblies when given the final…

Robotics · Computer Science 2022-11-09 Yunsheng Tian , Jie Xu , Yichen Li , Jieliang Luo , Shinjiro Sueda , Hui Li , Karl D. D. Willis , Wojciech Matusik