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This work focuses on the dual-arm object rearrangement problem abstracted from a realistic industrial scenario of Cartesian robots. The goal of this problem is to transfer all the objects from sources to targets with the minimum total…

Robotics · Computer Science 2024-02-22 Shishun Zhang , Qijin She , Wenhao Li , Chenyang Zhu , Yongjun Wang , Ruizhen Hu , Kai Xu

A self-contained calibration procedure that can be performed automatically without additional external sensors or tools is a significant advantage, especially for complex robotic systems. Here, we show that the kinematics of a…

Robotics · Computer Science 2024-01-09 Johannes Tenhumberg , Leon Sievers , Berthold Bäuml

Collision detection via visual fences can significantly enhance the safety of collaborative robotic arms. Existing work typically performs such detection based on pre-deployed stationary cameras outside the robotic arm's workspace. These…

Robotics · Computer Science 2024-03-12 Xian Huang , Yuanjiong Ying , Wei Dong

Accurate in-hand pose estimation is crucial for robotic object manipulation, but visual occlusion remains a major challenge for vision-based approaches. This paper presents an approach to robotic in-hand object pose estimation, combining…

Robotics · Computer Science 2025-06-13 Felix Nonnengießer , Alap Kshirsagar , Boris Belousov , Jan Peters

This paper introduces PoseLess, a novel framework for robot hand control that eliminates the need for explicit pose estimation by directly mapping 2D images to joint angles using projected representations. Our approach leverages synthetic…

Robotics · Computer Science 2025-03-12 Alan Dao , Dinh Bach Vu , Tuan Le Duc Anh , Bui Quang Huy

Robotic eye-in-hand calibration is the task of determining the rigid 6-DoF pose of the camera with respect to the robot end-effector frame. In this paper, we formulate this task as a non-linear optimization problem and introduce an active…

Robotics · Computer Science 2023-03-14 Jun Yang , Jason Rebello , Steven L. Waslander

Imagine a robot that can assemble a functional product from the individual parts presented in any configuration to the robot. Designing such a robotic system is a complex problem which presents several open challenges. To bypass these…

Keypoint detection is an essential building block for many robotic applications like motion capture and pose estimation. Historically, keypoints are detected using uniquely engineered markers such as checkerboards or fiducials. More…

Robotics · Computer Science 2023-02-28 Jingpei Lu , Florian Richter , Michael Yip

This paper presents a novel robotic arm system, named PAPRAS (Plug-And-Play Robotic Arm System). PAPRAS consists of a portable robotic arm(s), docking mount(s), and software architecture including a control system. By analyzing the target…

Robotics · Computer Science 2024-10-28 Joohyung Kim , Dhruv C Mathur , Kazuki Shin , Sean Taylor

This paper addresses two intertwined needs for collaborative robots operating in shop-floor environments. The first is the ability to perform complex manipulation operations, such as those on articulated or even flexible objects, in a way…

Legged robots are becoming popular not only in research, but also in industry, where they can demonstrate their superiority over wheeled machines in a variety of applications. Either when acting as mobile manipulators or just as all-terrain…

Robotics · Computer Science 2019-04-04 Andrzej Reinke , Marco Camurri , Claudio Semini

This paper proposes a novel operation for controlling a mobile robot using a head-mounted device. Conventionally, robots are operated using computers or a joystick, which creates limitations in usability and flexibility because control…

Robotics · Computer Science 2023-06-23 Joosun Lee , Taeyhang Lim , Wansoo Kim

Attention (and distraction) recognition is a key factor in improving human-robot collaboration. We present an assembly scenario where a human operator and a cobot collaborate equally to piece together a gearbox. The setup provides multiple…

Human-Computer Interaction · Computer Science 2023-04-03 Pooja Prajod , Matteo Lavit Nicora , Matteo Malosio , Elisabeth André

The increasing adoption of human-robot interaction presents opportunities for technology to positively impact lives, particularly those with visual impairments, through applications such as guide-dog-like assistive robotics. We present a…

Robotics · Computer Science 2024-08-27 Adam Scicluna , Cedric Le Gentil , Sheila Sutjipto , Gavin Paul

Assistive robotic systems endeavour to support those with movement disabilities, enabling them to move again and regain functionality. Main issue with these systems is the complexity of their low-level control, and how to translate this to…

Robotics · Computer Science 2019-03-07 Ali Shafti , Pavel Orlov , A. Aldo Faisal

Many modern robotic systems operate autonomously, however they often lack the ability to accurately analyze the environment and adapt to changing external conditions, while teleoperation systems often require special operator skills. In the…

Robotics · Computer Science 2024-11-04 Maria Makarova , Daria Trinitatova , Qian Liu , Dzmitry Tsetserukou

This work developed collaborative bimanual manipulation for reliable and safe human-robot collaboration, which allows remote and local human operators to work interactively for bimanual tasks. We proposed an optimal motion adaptation to…

Robotics · Computer Science 2023-07-19 Ruoshi Wen , Quentin Rouxel , Michael Mistry , Zhibin Li , Carlo Tiseo

Mutual localization provides a consensus of reference frame as an essential basis for cooperation in multirobot systems. Previous works have developed certifiable and robust solvers for relative transformation estimation between each pair…

Robotics · Computer Science 2022-10-18 Yingjian Wang , Xiangyong Wen , Yanjun Cao , Chao Xu , Fei Gao

This paper presents two novel control methodologies for the cooperative manipulation of an object by N robotic agents. Firstly, we design an adaptive control protocol which employs quaternion feedback for the object orientation to avoid…

Robotics · Computer Science 2019-01-04 Christos K. Verginis , Matteo Mastellaro , Dimos V. Dimarogonas

Human activity recognition (HAR) is fundamental in human-robot collaboration (HRC), enabling robots to respond to and dynamically adapt to human intentions. This paper introduces a HAR system combining a modular data glove equipped with…

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