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This paper presents a fixturing strategy for regrasping that does not require a physical fixture. To regrasp an object in a gripper, a robot pushes the object against external contact/s in the environment such that the external contact…

Robotics · Computer Science 2018-09-26 Nikhil Chavan-Dafle , Alberto Rodriguez

Humans excel in grasping objects through diverse and robust policies, many of which are so probabilistically rare that exploration-based learning methods hardly observe and learn. Inspired by the human learning process, we propose a method…

Robotics · Computer Science 2023-04-06 Chao Zhao , Chunli Jiang , Junhao Cai , Hongyu Yu , Michael Yu Wang , Qifeng Chen

Mobile manipulation robots are continuously advancing, with their grasping capabilities rapidly progressing. However, there are still significant gaps preventing state-of-the-art mobile manipulators from widespread real-world deployments,…

Manipulation planning and control are relevant building blocks of a robotic system and their tight integration is a key factor to improve robot autonomy and allows robots to perform manipulation tasks of increasing complexity, such as those…

This paper presents a soft robot finger capable of adaptive-twist deformation to grasp objects by wrapping them. For a soft hand to grasp and pick-up one object from densely contained multiple objects, a soft finger requires the…

Robotics · Computer Science 2025-10-29 Hiroki Ishikawa , Kyosuke Ishibashi , Ko Yamamoto

This paper proposes a novel method for randomized bin-picking based on learning. When a two-fingered gripper tries to pick an object from the pile, a finger often contacts a neighboring object. Even if a finger contacts a neighboring…

Robotics · Computer Science 2016-07-12 Kensuke Harada , Weiwei Wan , Tokuo Tsuji , Kohei Kikuchi , Kazuyuki Nagata , Hiromu Onda

Rapid and reliable robot bin picking is a critical challenge in automating warehouses, often measured in picks-per-hour (PPH). We explore increasing PPH using faster motions based on optimizing over a set of candidate grasps. The source of…

Robotics · Computer Science 2020-03-06 Jeffrey Ichnowski , Michael Danielczuk , Jingyi Xu , Vishal Satish , Ken Goldberg

Robotic fruit harvesting often fails to reliably detect whether a fruit has been successfully picked, limiting efficiency and increasing crop damage. This problem is difficult due to compliant fruit and grippers, variable stem attachment,…

Robotics · Computer Science 2026-04-29 Eva Krueger , Marcus Rosette , Joseph R. Davidson

Image processing techniques have huge impact on most fields of robotics and industrial automation. Real time methods are usually employed in complex automation tasks, assisting with decision making or directly guiding robots and machinery,…

Robotics · Computer Science 2023-07-13 Kristóf Takács , Renáta Nagyné Elek , Tamás Haidegger

Customized grippers have broad applications in industrial assembly lines. Compared with general parallel grippers, the customized grippers have specifically designed fingers to increase the contact area with the workpieces and improve the…

Robotics · Computer Science 2018-07-31 Yongxiang Fan , Hsien-Chung Lin , Te Tang , Masayoshi Tomizuka

A granular gripper is a device used to hold objects by taking advantage of the phenomenon of Reynold's dilatancy. A membrane containing a granular sample is allowed to deform around the object to be held and then vacuum is used to jam the…

Soft Condensed Matter · Physics 2020-10-29 Julián M. Gómez--Paccapelo , Angel A. Santarossa , H. Daniel Bustos , Luis A. Pugnaloni

We propose a robotic manipulation system that can pivot objects on a surface using vision, wrist force and tactile sensing. We aim to control the rotation of an object around the grip point of a parallel gripper by allowing rotational slip,…

Robotics · Computer Science 2023-10-09 Shiyu Xu , Tianyuan Liu , Michael Wong , Dana Kulić , Akansel Cosgun

This paper addresses the challenge of industrial bin picking using entangled wire harnesses. Wire harnesses are essential in manufacturing but poses challenges in automation due to their complex geometries and propensity for entanglement.…

Robotics · Computer Science 2023-06-27 Xinyi Zhang , Yukiyasu Domae , Weiwei Wan , Kensuke Harada

This paper introduces a novel, small form-factor, aerial vehicle research platform for agile object detection, classification, tracking, and interaction tasks. General-purpose hardware components were designed to augment a given aerial…

Robotics · Computer Science 2024-03-07 Cora A. Dimmig , Anna Goodridge , Gabriel Baraban , Pupei Zhu , Joyraj Bhowmick , Marin Kobilarov

Object grasping is an important ability required for various robot tasks. In particular, tasks that require precise force adjustments during operation, such as grasping an unknown object or using a grasped tool, are difficult for humans to…

Robotics · Computer Science 2024-01-22 Koki Yamane , Sho Sakaino , Toshiaki Tsuji

Regrasping on fixtures is a promising approach to reduce pose uncertainty in robotic assembly, but conventional rigid fixtures lack adaptability and require dedicated designs for each part. To overcome this limitation, we propose a soft jig…

Robotics · Computer Science 2025-09-18 Takuya Kiyokawa , Zhengtao Hu , Weiwei Wan , Kensuke Harada

Grasping has long been considered an important and practical task in robotic manipulation. Yet achieving robust and efficient grasps of diverse objects is challenging, since it involves gripper design, perception, control and learning, etc.…

Robotics · Computer Science 2023-04-06 Fukang Liu , Fuchun Sun , Bin Fang , Xiang Li , Songyu Sun , Huaping Liu

Recently, magnetorheological elastomers have become an interesting smart material with many new designs for robotics. A variety of applications have been built with magnetorheological elastomers, such as vibration absorbers, actuators, or…

Systems and Control · Electrical Eng. & Systems 2026-04-02 Jakub Bernat , Pawel Czopek , Paulina Superczynska , Piotr Gajewski , Agnieszka Marcinkowska

This paper presents a novel industrial robotic gripper with a high grasping speed (maximum: 1396 mm/s), high tip force (maximum: 80 N) for grasping, large motion range, and lightweight design (0.3 kg). To realize these features, the…

Robotics · Computer Science 2023-10-27 Toshihiro Nishimura , Takeshi Takaki , Yosuke Suzuki , Tokuo Tsuji , Tetsuyou Watanabe

To design a general-purpose assembly robot system that can handle objects of various shapes, we propose a soft jig that fits to the shapes of assembly parts. The functionality of the soft jig is based on a jamming gripper developed in the…

Robotics · Computer Science 2021-11-18 Takuya Kiyokawa , Tatsuya Sakuma , Jun Takamatsu , Tsukasa Ogasawara