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Grasping compliant objects is difficult for robots - applying too little force may cause the grasp to fail, while too much force may lead to object damage. A robot needs to apply the right amount of force to quickly and confidently grasp…

Robotics · Computer Science 2024-01-17 Maceon Knopke , Liguo Zhu , Peter Corke , Fangyi Zhang

Humans have the remarkable ability to use held objects as tools to interact with their environment. For this to occur, humans internally estimate how hand movements affect the object's movement. We wish to endow robots with this capability.…

Robotics · Computer Science 2024-07-16 Weiming Zhi , Haozhan Tang , Tianyi Zhang , Matthew Johnson-Roberson

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

Objects we interact with and manipulate often share similar parts, such as handles, that allow us to transfer our actions flexibly due to their shared functionality. This work addresses the problem of transferring a grasp experience or a…

Robotics · Computer Science 2023-08-21 Ahmet Tekden , Marc Peter Deisenroth , Yasemin Bekiroglu

Human-robot object handovers have been an actively studied area of robotics over the past decade; however, very few techniques and systems have addressed the challenge of handing over diverse objects with arbitrary appearance, size, shape,…

Robotics · Computer Science 2021-06-07 Wei Yang , Chris Paxton , Arsalan Mousavian , Yu-Wei Chao , Maya Cakmak , Dieter Fox

In industry assembly lines, parts feeding machines are widely employed as the prologue of the whole procedure. They play the role of sorting the parts randomly placed in bins to the state with specified pose. With the help of the parts…

Robotics · Computer Science 2019-09-20 Jie Zhao , Xin Jiang , Xiaoman Wang , Shengfan Wang , Yunhui Liu

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

Wire-harnessing tasks pose great challenges to be automated by the robot due to the complex dynamics and unpredictable behavior of the deformable wire. Traditional methods, often reliant on dual-robot arms or tactile sensing, face…

Robotics · Computer Science 2024-10-15 Xiang Zhang , Hsien-Chung Lin , Yu Zhao , Masayoshi Tomizuka

Operating robots precisely and at high speeds has been a long-standing goal of robotics research. Balancing these competing demands is key to enabling the seamless collaboration of robots and humans and increasing task performance. However,…

Caging is a promising tool which allows a robot to manipulate an object without directly reasoning about the contact dynamics involved. Furthermore, caging also provides useful guarantees in terms of robustness to uncertainty, and often…

Robotics · Computer Science 2019-08-05 Bernardo Aceituno-Cabezas , Hongkai Dai , Alberto Rodriguez

Assistive robotic arms often have more degrees-of-freedom than a human teleoperator can control with a low-dimensional input, like a joystick. To overcome this challenge, existing approaches use data-driven methods to learn a mapping from…

Robotics · Computer Science 2024-07-12 Michelle Zhao , Reid Simmons , Henny Admoni , Andrea Bajcsy

For successful object manipulation with robotic hands, it is important to ensure that the object remains in the grasp at all times. In addition to grasp constraints associated with slipping and singular hand configurations, excessive…

Robotics · Computer Science 2018-11-28 Wenceslao Shaw Cortez , Denny Oetomo , Chris Manzie , Peter Choong

Robotic solutions, in particular robotic arms, are becoming more frequently deployed for close collaboration with humans, for example in manufacturing or domestic care environments. These robotic arms require the user to control several…

Human-Computer Interaction · Computer Science 2023-11-15 Max Pascher , Kirill Kronhardt , Felix Ferdinand Goldau , Udo Frese , Jens Gerken

Task-oriented handovers (TOH) are fundamental to effective human-robot collaboration, requiring robots to present objects in a way that supports the human's intended post-handover use. Existing approaches are typically based on object- or…

Robotics · Computer Science 2026-03-10 Andreea Tulbure , Carmen Scheidemann , Elias Steiner , Marco Hutter

Positioning patients for scanning and interventional procedures is a critical task that requires high precision and accuracy. The conventional workflow involves manually adjusting the patient support to align the center of the target body…

Computer Vision and Pattern Recognition · Computer Science 2024-12-10 Zhongpai Gao , Abhishek Sharma , Meng Zheng , Benjamin Planche , Terrence Chen , Ziyan Wu

Recent advancements in prosthetic technology have increasingly focused on enhancing dexterity and autonomy through intelligent control systems. Vision-based approaches offer promising results for enabling prosthetic hands to interact more…

Robotics · Computer Science 2025-12-09 Shifa Sulaiman , Akash Bachhar , Ming Shen , Simon Bøgh

This paper investigates the direct application of standardized designs on the robot for conducting robot hand-eye calibration by employing 3D scanners with collaborative robots. The well-established geometric features of the robot flange…

Robotics · Computer Science 2024-07-30 Xudong Han , Ning Guo , Yu Jie , He Wang , Fang Wan , Chaoyang Song

Furniture assembly is a crucial yet challenging task for robots, requiring precise dual-arm coordination where one arm manipulates parts while the other provides collaborative support and stabilization. To accomplish this task more…

Robotics · Computer Science 2026-01-19 Jiaqi Liang , Yue Chen , Qize Yu , Yan Shen , Haipeng Zhang , Hao Dong , Ruihai Wu

Manipulating objects with robotic hands is a complicated task. Not only the fingers of the hand, but also the pose of the robot's end effector need to be coordinated. Using human demonstrations of movements is an intuitive and…

Dexterous multi-fingered hands can accomplish fine manipulation behaviors that are infeasible with simple robotic grippers. However, sophisticated multi-fingered hands are often expensive and fragile. Low-cost soft hands offer an appealing…

Machine Learning · Computer Science 2017-03-21 Abhishek Gupta , Clemens Eppner , Sergey Levine , Pieter Abbeel