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Related papers: Non-contact Dexterous Micromanipulation with Multi…

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Magnetic microrobots can be navigated by an external magnetic field to autonomously move within living organisms with complex and unstructured environments. Potential applications include drug delivery, diagnostics, and therapeutic…

Robotics · Computer Science 2024-03-22 Yongyi Jia , Shu Miao , Junjian Zhou , Niandong Jiao , Lianqing Liu , Xiang Li

The electrokinetic effect of dielectrophoresis is a promising way of inducing forces and torques on a broad class of polarizable objects at micro- and mesoscale. We introduce a non-contact micro-manipulation technique based on this…

Systems and Control · Electrical Eng. & Systems 2020-02-21 Tomáš Michálek , Zdeněk Hurák

A significant barrier preventing model-based methods from achieving real-time and versatile dexterous robotic manipulation is the inherent complexity of multi-contact dynamics. Traditionally formulated as complementarity models,…

Robotics · Computer Science 2025-04-23 Wanxin Jin

Optoelectronic tweezer-driven microrobots (OETdMs) are a versatile micromanipulation technology based on the use of light induced dielectrophoresis to move small dielectric structures (microrobots) across a photoconductive substrate. The…

Although general purpose robotic manipulators are becoming more capable at manipulating various objects, their ability to manipulate millimeter-scale objects are usually very limited. On the other hand, ultrasonic levitation devices have…

Robotics · Computer Science 2020-02-24 Jared Nakahara , Boling Yang , Joshua R. Smith

The sense of touch is an essential ability for skillfully performing a variety of tasks, providing the capacity to search and manipulate objects without relying on visual information. In this paper, we introduce a multi-finger robot system…

Robotics · Computer Science 2024-11-27 Kang-Won Lee , Yuzhe Qin , Xiaolong Wang , Soo-Chul Lim

Non-prehensile manipulation enables fast interactions with objects by circumventing the need to grasp and ungrasp as well as handling objects that cannot be grasped through force closure. Current approaches to non-prehensile manipulation…

Robotics · Computer Science 2024-07-12 William Yang , Michael Posa

In this paper, we consider the problem of non-prehensile manipulation using grasped objects. This problem is a superset of many common manipulation skills including instances of tool-use (e.g., grasped spatula flipping a burger) and…

Robotics · Computer Science 2024-05-29 Miquel Oller , Dmitry Berenson , Nima Fazeli

Microscale manipulation has advanced substantially in controlled locomotion and targeted transport, yet many biomedical applications require precise and adaptive interaction with biological micro-objects. At these scales, manipulation is…

Robotics · Computer Science 2026-04-14 Kangyi Lu , Lan Wei , Zongcai Tan , Dandan Zhang

Tactile information plays a critical role in human dexterity. It reveals useful contact information that may not be inferred directly from vision. In fact, humans can even perform in-hand dexterous manipulation without using vision. Can we…

Robotics · Computer Science 2023-03-28 Zhao-Heng Yin , Binghao Huang , Yuzhe Qin , Qifeng Chen , Xiaolong Wang

Dexterous in-hand manipulation is an essential skill of production and life. However, the highly stiff and mutable nature of contacts limits real-time contact detection and inference, degrading the performance of model-based methods.…

Robotics · Computer Science 2024-11-08 Yongpeng Jiang , Mingrui Yu , Xinghao Zhu , Masayoshi Tomizuka , Xiang Li

We begin this paper by presenting our approach to robot manipulation, which emphasizes the benefits of making contact with the world across the entire manipulator. We assume that low contact forces are benign, and focus on the development…

Robotics · Computer Science 2013-04-24 Advait Jain , Marc D. Killpack , Aaron Edsinger , Charles C. Kemp

Complex and contact-rich robotic manipulation tasks, particularly those that involve multi-fingered hands and underactuated object manipulation, present a significant challenge to any control method. Methods based on reinforcement learning…

Machine Learning · Computer Science 2022-12-21 Kelvin Xu , Zheyuan Hu , Ria Doshi , Aaron Rovinsky , Vikash Kumar , Abhishek Gupta , Sergey Levine

Controllable rotation of micro-/nano-objects provides tremendous opportunities for cellular biology, three-dimensional (3D) imaging, and micro/nanorobotics. Among different rotation techniques, optical rotation is particularly attractive…

Optics · Physics 2023-01-18 Hongru Ding , Zhihan Chen , Carolina Ponce , Yuebing Zheng

To achieve general-purpose dexterous manipulation, robots must rapidly devise and execute contact-rich behaviors. Existing model-based controllers are incapable of globally optimizing in real-time over the exponential number of possible…

Robotics · Computer Science 2026-05-18 Sharanya Venkatesh , Bibit Bianchini , Alp Aydinoglu , William Yang , Michael Posa

Non-contact manipulation has emerged as a transformative approach across various industrial fields. However, current flexible 2D and 3D non-contact manipulation techniques are often limited to microscopic scales, typically controlling…

Robotics · Computer Science 2025-11-27 Guoming Huang , Qingyi Zhou , Dianjing Liu , Shuai Zhang , Ming Zhou , Zongfu Yu

This paper uses a mobile manipulator with a collaborative robotic arm to manipulate objects beyond the robot's maximum payload. It proposes a single-shot probabilistic roadmap-based method to plan and optimize manipulation motion with…

Robotics · Computer Science 2023-02-28 Kento Nakatsuru , Weiwei Wan , Kensuke Harada

Dexterous manipulation of objects through fine control of physical contacts is essential for many important tasks of daily living. A fundamental ability underlying fine contact control is compliant control, \textit{i.e.}, controlling the…

Robotics · Computer Science 2023-05-30 Jinda Cui , Jiawei Xu , David Saldaña , Jeff Trinkle

Non-prehensile manipulation methods usually use a simple end effector, e.g., a single rod, to manipulate the object. Compared to the grasping method, such an end effector is compact and flexible, and hence it can perform tasks in a…

Robotics · Computer Science 2023-03-08 Yongpeng Jiang , Yongyi Jia , Xiang Li

Dexterous grasping of unseen objects in dynamic environments is an essential prerequisite for the advanced manipulation of autonomous robots. Prior advances rely on several assumptions that simplify the setup, including environment…

Robotics · Computer Science 2024-04-09 Yannick Burkhardt , Qian Feng , Jianxiang Feng , Karan Sharma , Zhaopeng Chen , Alois Knoll
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