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Endowing robots with tactile capabilities opens up new possibilities for their interaction with the environment, including the ability to handle fragile and/or soft objects. In this work, we equip the robot gripper with low-cost…

Robotics · Computer Science 2023-06-12 Michael C. Welle , Martina Lippi , Haofei Lu , Jens Lundell , Andrea Gasparri , Danica Kragic

Robot arms that assist humans should be able to pick up, move, and release everyday objects. Today's assistive robot arms use rigid grippers to pinch items between fingers; while these rigid grippers are well suited for large and heavy…

Robotics · Computer Science 2022-10-31 Shaunak A. Mehta , Yeunhee Kim , Joshua Hoegerman , Michael D. Bartlett , Dylan P. Losey

Robots that autonomously manipulate objects within warehouses have the potential to shorten the package delivery time and improve the efficiency of the e-commerce industry. In this paper, we present a robotic system that is capable of both…

This paper presents an autonomous tomato-harvesting system built around a hybrid robotic gripper that combines six soft auxetic fingers with a rigid exoskeleton and a latex basket to achieve gentle, cage-like grasping. The gripper is driven…

Robotics · Computer Science 2025-12-04 Shahid Ansari , Mahendra Kumar Gohil , Yusuke Maeda , Bishakh Bhattacharya

Current agriculture and farming industries are able to reap advancements in robotics and automation technology to harvest fruits and vegetables using robots with adaptive grasping forces based on the compliance or softness of the fruit or…

Robotics · Computer Science 2024-12-24 Shahid Ansari , Mahendra Kumar Gohil , Bishakh Bhattacharya

In the robotic crop harvesting environment, foreign objects intrusion in the gripper workspace is frequently occurring and unignorable, however, rarely addressed. This paper presents a novel intelligent robotic grasping method capable of…

Robotics · Computer Science 2021-10-19 Hongyu Zhou , Xing Wang , Hanwen Kang , Chao Chen

It is essential yet challenging for future home-assistant robots to understand and manipulate diverse 3D objects in daily human environments. Towards building scalable systems that can perform diverse manipulation tasks over various 3D…

Computer Vision and Pattern Recognition · Computer Science 2023-03-28 Yan Zhao , Ruihai Wu , Zhehuan Chen , Yourong Zhang , Qingnan Fan , Kaichun Mo , Hao Dong

Robotic pick and place stands at the heart of autonomous manipulation. When conducted in cluttered or complex environments robots must jointly reason about the selected grasp and desired placement locations to ensure success. While several…

Robotics · Computer Science 2024-02-15 Mohanraj Devendran Shanthi , Tucker Hermans

The World Robot Summit (WRS) 2020 Assembly Challenge is designed to allow teams to demonstrate how one can build flexible, robust systems for assembly of machined objects. We present our approach to assembly based on integration of machine…

Robotics · Computer Science 2021-03-30 Aayush Naik , Priyam Parashar , Jiaming Hu , Henrik I. Christensen

The ability to grasp and manipulate small objects in cluttered environments remains a significant challenge. This paper introduces a novel approach that utilizes a tactile sensor-equipped gripper with eight degrees of freedom to overcome…

Robotics · Computer Science 2023-09-01 Won Kyung Do , Bianca Aumann , Camille Chungyoun , Monroe Kennedy

We present the grasping system and design approach behind Cartman, the winning entrant in the 2017 Amazon Robotics Challenge. We investigate the design processes leading up to the final iteration of the system and describe the emergent…

Grasping a variety of objects remains a key challenge in the development of versatile robotic systems. The human hand is remarkably dexterous, capable of grasping and manipulating objects with diverse shapes, mechanical properties, and…

Robotics · Computer Science 2024-10-11 Ngoc-Duy Tran , Hoang-Hiep Ly , Xuan-Thuan Nguyen , Thi-Thoa Mac , Anh Nguyen , Tung D. Ta

Grasping is an essential capability for most robots in practical applications. Soft robotic grippers are considered as a critical part of robotic grasping and have attracted considerable attention in terms of the advantages of the high…

Robotics · Computer Science 2021-11-09 Huixu Dong , Chao-Yu Chen , Chen Qiu , Chen-Hua Yeow , Haoyong Yu

Soft robotic systems present a variety of new opportunities for solving complex problems. The use of soft robotic grippers, for example, can simplify the complexity in tasks such as the of grasping irregular and delicate objects. Adoption…

Robotics · Computer Science 2017-02-03 Ross M. McKenzie , Thomas W. Barraclough , Adam A. Stokes

This paper proposes a novel assembly planner for a manipulator which can simultaneously plan assembly sequence, robot motion, grasping configuration, and exchange of grippers. Our assembly planner assumes multiple grippers and can…

Robot grasping is subject to an inherent tradeoff: Grippers with a large span typically take a longer time to close, and fast grippers usually cover a small span. However, many practical applications of soft grippers require the ability to…

Robotics · Computer Science 2023-10-03 Zechen Xiong , Zihan Guo , Li Yuan , Yufeng Su , Yitong Liu , Hod Lipson

Robotic picking from cluttered bins is a demanding task, for which Amazon Robotics holds challenges. The 2017 Amazon Robotics Challenge (ARC) required stowing items into a storage system, picking specific items, and packing them into boxes.…

Gripping and holding of objects are key tasks for robotic manipulators. The development of universal grippers able to pick up unfamiliar objects of widely varying shape and surface properties remains, however, challenging. Most current…

This study proposed a novel robotic gripper that can achieve grasping and infinite wrist twisting motions using a single actuator. The gripper is equipped with a differential gear mechanism that allows switching between the grasping and…

Robotics · Computer Science 2022-11-11 Toshihiro Nishimura , Yosuke Suzuki , Tokuo Tsuji , Tetsuyou Watanabe

This paper presents a robotic pick-and-place system that is capable of grasping and recognizing both known and novel objects in cluttered environments. The key new feature of the system is that it handles a wide range of object categories…