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Humans display the remarkable ability to sense the world through tools and other held objects. For example, we are able to pinpoint impact locations on a held rod and tell apart different textures using a rigid probe. In this work, we…

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

Tactile information is important for robust performance in robotic tasks that involve physical interaction, such as object manipulation. However, with more data included in the reasoning and control process, modeling behavior becomes…

Robotics · Computer Science 2023-11-14 Luca Lach , Francesco Ferro , Robert Haschke

The object perception capabilities of humans are impressive, and this becomes even more evident when trying to develop solutions with a similar proficiency in autonomous robots. While there have been notable advancements in the technologies…

Robotics · Computer Science 2026-04-29 Nicolás Navarro-Guerrero , Sibel Toprak , Josip Josifovski , Lorenzo Jamone

Service robots are appearing more and more in our daily life. The development of service robots combines multiple fields of research, from object perception to object manipulation. The state-of-the-art continues to improve to make a proper…

Robotics · Computer Science 2021-05-10 S. Hamidreza Kasaei , Jorik Melsen , Floris van Beers , Christiaan Steenkist , Klemen Voncina

A sensor is a device that converts a physical parameter or an environmental characteristic (e.g., temperature, distance, speed, etc.) into a signal that can be digitally measured and processed to perform specific tasks. Mobile robots need…

Robotics · Computer Science 2023-09-08 Henrik Andreasson , Giorgio Grisetti , Todor Stoyanov , Alberto Pretto

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

Robots with multi-fingered grippers could perform advanced manipulation tasks for us if we were able to properly specify to them what to do. In this study, we take a step in that direction by making a robot grasp an object like a grasping…

Robotics · Computer Science 2022-11-15 Yuming Du , Philippe Weinzaepfel , Vincent Lepetit , Romain Brégier

Tactile sensing is critical to fine-grained, contact-rich manipulation tasks, such as insertion and assembly. Prior research has shown the possibility of learning tactile-guided policy from teleoperated demonstration data. However, to…

Robotics · Computer Science 2025-02-07 Kelin Yu , Yunhai Han , Qixian Wang , Vaibhav Saxena , Danfei Xu , Ye Zhao

While both navigation and manipulation are challenging topics in isolation, many tasks require the ability to both navigate and manipulate in concert. To this end, we propose a mobile manipulation system that leverages novel navigation and…

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-to-human object handover is an important step in many human robot collaboration tasks. A successful handover requires the robot to maintain a stable grasp on the object while making sure the human receives the object in a natural and…

Robotics · Computer Science 2024-10-01 Zixi Wang , Zeyi Liu , Nicolas Ouporov , Shuran Song

Affective touch offers positive psychological and physiological benefits such as the mitigation of stress and pain. If a robot could realize human-like affective touch, it would open up new application areas, including supporting care work.…

For humans, the process of grasping an object relies heavily on rich tactile feedback. Most recent robotic grasping work, however, has been based only on visual input, and thus cannot easily benefit from feedback after initiating contact.…

Object manipulation is a basic element in everyday human lives. Robotic manipulation has progressed from maneuvering single-rigid-body objects with firm grasping to maneuvering soft objects and handling contact-rich actions. Meanwhile,…

Robotics · Computer Science 2017-08-18 Leidi Zhao , Raheem Lawhorn , Siddharth Patil , Steve Susanibar , Lu Lu , Cong Wang , Bo Ouyang

Recent advances in teleoperation have enabled sophisticated manipulation of dexterous robotic hands, with most systems concentrating on guiding finger positions to achieve desired grasp configurations. However, while accurate finger…

Robotics · Computer Science 2026-03-09 Hengxu You , Tianyu Zhou , Fang Xu , Kaleb Smith , Eric Jing Du

Transferring human motion to a mobile robotic manipulator and ensuring safe physical human-robot interaction are crucial steps towards automating complex manipulation tasks in human-shared environments. In this work, we present a novel…

Robotics · Computer Science 2021-10-26 Miguel Arduengo , Ana Arduengo , Adrià Colomé , Joan Lobo-Prat , Carme Torras

In this paper, we illustrate our work on improving the accessibility of Cyber-Physical Systems (CPS), presenting a study on human-robot interaction where the end-users are either deaf or hearing-impaired people. Current trends in robotic…

Robotics · Computer Science 2019-01-18 Jennifer J. Gago , Juan G. Victores , Carlos Balaguer

Achieving human-like dexterous robotic manipulation remains a central goal and a pivotal challenge in robotics. The development of Artificial Intelligence (AI) has allowed rapid progress in robotic manipulation. This survey summarizes the…

Robotics · Computer Science 2025-11-19 Gaofeng Li , Ruize Wang , Peisen Xu , Qi Ye , Jiming Chen

The Transformer model, initially achieving significant success in the field of natural language processing, has recently shown great potential in the application of tactile perception. This review aims to comprehensively outline the…

Machine Learning · Computer Science 2024-05-22 Jing Gao , Ning Cheng , Bin Fang , Wenjuan Han