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Tactile sensing plays a key role in enabling dexterous and reliable robotic manipulation, but realizing this capability requires substantial calibration to convert raw sensor readings into physically meaningful quantities. Despite its…

Robotics · Computer Science 2025-11-12 Rohan Kota , Kaival Shah , J. Edward Colgate , Gregory Reardon

Tactile perception is an essential ability of intelligent robots in interaction with their surrounding environments. This perception as an intermediate level acts between sensation and action and has to be defined properly to generate…

Robotics · Computer Science 2019-07-24 Masoud Baghbahari , Aman Behal

Optical tactile sensors provide robots with rich force information for robot grasping in unstructured environments. The fast and accurate calibration of three-dimensional contact forces holds significance for new sensors and existing…

Robotics · Computer Science 2024-07-22 Zhuo Chen , Ni Ou , Jiaqi Jiang , Shan Luo

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

Soft robotics is an emerging field that yields promising results for tasks that require safe and robust interactions with the environment or with humans, such as grasping, manipulation, and human-robot interaction. Soft robots rely on…

Robotics · Computer Science 2021-11-19 Tessa J. Pannen , Steffen Puhlmann , Oliver Brock

In modern robotic applications, tactile sensor arrays (i.e., artificial skins) are an emergent solution to determine the locations of contacts between a robot and an external agent. Localizing the point of contact is useful but determining…

Tactile sensors have been introduced to a wide range of robotic tasks such as robot manipulation to mimic the sense of human touch. However, there has only been a few works that integrate tactile sensing into robot navigation. This paper…

Robotics · Computer Science 2022-11-24 Zhen Hao Gan , Yangwei You , Meng Yee , Chuah

As more robots are implemented for contact-rich tasks, tactile sensors are in increasing demand. For many circumstances, the contact is required to be compliant, and soft sensors are in need. This paper introduces a novelly designed soft…

Robotics · Computer Science 2021-05-18 Wu-Te Yang , Zhian Kuang , Changhao Wang , Masayoshi Tomizuka

The development of tactile sensing is expected to enhance robotic systems in handling complex objects like deformables or reflective materials. However, readily available industrial grippers generally lack tactile feedback, which has led…

Robotics · Computer Science 2023-09-13 Remko Proesmans , Francis wyffels

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

Soft robotic fingers can improve adaptability in grasping and manipulation, compensating for geometric variation in object or environmental contact, but today lack force capacity and fine dexterity. Integrated tactile sensors can provide…

Robotics · Computer Science 2024-10-28 Hun Jang , Joonbum Bae , Kevin Haninger

Vision-based learning from demonstrations has achieved remarkable success in enabling robots to perform manipulation tasks and high-level semantic reasoning, yet it remains insufficient for complex, contact-rich manipulation. While there is…

Simulators perform an important role in prototyping, debugging, and benchmarking new advances in robotics and learning for control. Although many physics engines exist, some aspects of the real world are harder than others to simulate. One…

Robotics · Computer Science 2022-02-14 Shaoxiong Wang , Mike Lambeta , Po-Wei Chou , Roberto Calandra

Research on tactile sensing has been progressing at constant pace. In robotics, tactile sensing is typically studied in the context of object grasping and manipulation. In this domain, the development of robust, multi-modal, tactile sensors…

Robotics · Computer Science 2022-06-29 Lorenzo Natale , Giorgio Cannata

Tactile sensing holds great promise for enhancing manipulation precision and versatility, but its adoption in robotic hands remains limited due to high sensor costs, manufacturing and integration challenges, and difficulties in extracting…

Robotics · Computer Science 2025-10-08 Zhuowei Xu , Zilin Si , Kevin Zhang , Oliver Kroemer , Zeynep Temel

Skill transfer from humans to robots is challenging. Presently, many researchers focus on capturing only position or joint angle data from humans to teach the robots. Even though this approach has yielded impressive results for grasping…

How are robots becoming smarter at interacting with their surroundings? Recent advances have reshaped how robots use tactile sensing to perceive and engage with the world. Tactile sensing is a game-changer, allowing robots to embed…

Robotics · Computer Science 2025-02-10 Enrico Donato , Matteo Lo Preti , Lucia Beccai , Egidio Falotico

Advanced dexterous manipulation involving multiple simultaneous contacts across different surfaces, like pinching coins from ground or manipulating intertwined objects, remains challenging for robotic systems. Such tasks exceed the…

Robotics · Computer Science 2025-06-11 Won Kyung Do , Matthew Strong , Aiden Swann , Boshu Lei , Monroe Kennedy

Tactile sensing is crucial in robotics and wearable devices for safe perception and interaction with the environment. Optical tactile sensors have emerged as promising solutions, as they are immune to electromagnetic interference and have…

Robotic grasping requires safe force interaction to prevent a grasped object from being damaged or slipping out of the hand. In this vein, this paper proposes an integrated framework for grasping with formal safety guarantees based on…

Robotics · Computer Science 2025-11-20 Yitaek Kim , Jeeseop Kim , Albert H. Li , Aaron D. Ames , Christoffer Sloth
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