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The accurate detection and grasping of transparent objects are challenging but of significance to robots. Here, a visual-tactile fusion framework for transparent object grasping under complex backgrounds and variant light conditions is…

Robotics · Computer Science 2024-06-11 Shoujie Li , Haixin Yu , Wenbo Ding , Houde Liu , Linqi Ye , Chongkun Xia , Xueqian Wang , Xiao-Ping Zhang

Grasping objects across vastly different sizes and physical states-including both solids and liquids-with a single robotic gripper remains a fundamental challenge in soft robotics. We present the Everything-Grasping (EG) Gripper, a soft…

Aquatic mammals, such as pinnipeds, utilize their whiskers to detect and discriminate objects and analyze water movements, inspiring the development of robotic whiskers for sensing contacts, surfaces, and water flows. We present the design…

Robotics · Computer Science 2024-10-21 Hao Li , Chengyi Xing , Saad Khan , Miaoya Zhong , Mark R. Cutkosky

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

A key challenge in robotics is to create efficient methods for grasping objects with diverse shapes, sizes, poses, and properties. Grasping with hand-like end effectors often requires careful selection of hand orientation and finger…

Robotics · Computer Science 2019-12-17 Yufei Hao , Shantonu Biswas , Elliot Hawkes , Tianmiao Wang , Mengjia Zhu , Li Wen , Yon Visell

We introduce the Grasp EveryThing (GET) gripper, a novel 1-DoF, 3-finger design for securely grasping objects of many shapes and sizes. Mounted on a standard parallel jaw actuator, the design features three narrow, tapered fingers arranged…

Robotics · Computer Science 2025-08-01 Michael Burgess , Edward H. Adelson

Deep learning combined with high-resolution tactile sensing could lead to highly capable dexterous robots. However, progress is slow because of the specialist equipment and expertise. The DIGIT tactile sensor offers low-cost entry to…

Robotics · Computer Science 2022-07-19 Nathan F. Lepora , Yijiong Lin , Ben Money-Coomes , John Lloyd

Robotic fingers made of soft material and compliant structures usually lead to superior adaptation when interacting with the unstructured physical environment. In this paper, we present an embedded sensing solution using optical fibers for…

Robotics · Computer Science 2020-07-14 Zeyi Yang , Sheng Ge , Fang Wan , Yujia Liu , Chaoyang Song

Tactile sensing provides robots with rich feedback during manipulation, enabling a host of perception and controls capabilities. Here, we present a new open-source, vision-based tactile sensor designed to promote reproducibility and…

Robotics · Computer Science 2024-10-01 Andrea Sipos , William van den Bogert , Nima Fazeli

Suckers are significant for robots in picking, transferring, manipulation and locomotion on diverse surfaces. However, most of the existing suckers lack high-fidelity perceptual and tactile sensing, which impedes them from resolving the…

Robotics · Computer Science 2025-11-05 Ruiyong Yuan , Jieji Ren , Zhanxuan Peng , Feifei Chen , Guoying Gu

Robotic research encounters a significant hurdle when it comes to the intricate task of grasping objects that come in various shapes, materials, and textures. Unlike many prior investigations that heavily leaned on specialized point-cloud…

Robotics · Computer Science 2024-03-15 Chang Liu , Kejian Shi , Kaichen Zhou , Haoxiao Wang , Jiyao Zhang , Hao Dong

Underground mining operations face significant safety challenges that make emergency response capabilities crucial. While robots have shown promise in assisting with search and rescue operations, their effectiveness depends on reliable…

Computer Vision and Pattern Recognition · Computer Science 2025-06-27 Cyrus Addy , Ajay Kumar Gurumadaiah , Yixiang Gao , Kwame Awuah-Offei

The development of tactile sensing and its fusion with computer vision is expected to enhance robotic systems in handling complex tasks like deformable object manipulation. However, readily available industrial grippers typically lack…

Robotics · Computer Science 2023-06-12 Remko Proesmans , Francis wyffels

Ground Penetrating Radar (GPR) is one of the most important non-destructive evaluation (NDE) devices to detect the subsurface objects (i.e. rebars, utility pipes) and reveal the underground scene. One of the biggest challenges in GPR based…

Signal Processing · Electrical Eng. & Systems 2020-08-21 Jinglun Feng , Liang Yang , Haiyan Wang , Yifeng Song , Jizhong Xiao

Tactile sensing is inherently contact based. To use tactile data, robots need to make contact with the surface of an object. This is inefficient in applications where an agent needs to make a decision between multiple alternatives that…

Robotics · Computer Science 2021-10-19 Karankumar Patel , Soshi Iba , Nawid Jamali

Simulation is widely used in robotics for system verification and large-scale data collection. However, simulating sensors, including tactile sensors, has been a long-standing challenge. In this paper, we propose Taxim, a realistic and…

Robotics · Computer Science 2021-12-15 Zilin Si , Wenzhen Yuan

The sense of touch plays a key role in enabling humans to understand and interact with surrounding environments. For robots, tactile sensing is also irreplaceable. While interacting with objects, tactile sensing provides useful information…

Robotics · Computer Science 2021-12-30 Jiaqi Jiang , Shan Luo

Intelligent interaction with the physical world requires perceptual abilities beyond vision and hearing; vibrant tactile sensing is essential for autonomous robots to dexterously manipulate unfamiliar objects or safely contact humans.…

Robotics · Computer Science 2023-04-24 Iris Andrussow , Huanbo Sun , Katherine J. Kuchenbecker , Georg Martius

Non-invasive detection of objects embedded inside an optically scattering medium is essential for numerous applications in engineering and sciences. However, in most applications light at visible or near-infrared wavebands is scattered by…

Liquids and granular media are pervasive throughout human environments, yet remain particularly challenging for robots to sense and manipulate precisely. In this work, we present a systematic approach at integrating capacitive sensing…

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