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Object insertion tasks are prone to failure under pose uncertainty and environmental variation, often requiring manual fine-tuning or controller retraining. We present a novel approach for robust and resilient object insertion using a…

机器人学 · 计算机科学 2026-05-19 Mimo Shirasaka , Cristian C. Beltran-Hernandez , Masashi Hamaya , Yoshitaka Ushiku

This paper introduces RoTipBot, a novel robotic system for handling thin, flexible objects. Different from previous works that are limited to singulating them using suction cups or soft grippers, RoTipBot can count multiple layers and then…

机器人学 · 计算机科学 2025-04-29 Jiaqi Jiang , Xuyang Zhang , Daniel Fernandes Gomes , Thanh-Toan Do , Shan Luo

We introduce CRAFT hand, a tendon-driven anthropomorphic hand with hybrid hard-soft compliance for contact-rich manipulation. The design is based on a simple idea: contact is not uniform across the hand. Impacts concentrate at joints, while…

机器人学 · 计算机科学 2026-03-13 Leo Lin , Shivansh Patel , Jay Moon , Svetlana Lazebnik , Unnat Jain

Automation in the life science research laboratory is a paradigm that has gained increasing relevance in recent years. Current robotic solutions often have a limited scope, which reduces their acceptance and prevents the realization of…

机器人学 · 计算机科学 2023-12-18 Henning Zwirnmann , Dennis Knobbe , Utku Culha , Sami Haddadin

Traditional control methods effectively manage robot operations using models like motion equations but face challenges with issues of contact and friction, leading to unstable and imprecise controllers that often require manual tweaking.…

机器人学 · 计算机科学 2024-09-20 Bahador Beigomi , Zheng H. Zhu

Recently, there has been a growing interest in rescue robots due to their vital role in addressing emergency scenarios and providing crucial support in challenging or hazardous situations where human intervention is difficult. However, very…

机器人学 · 计算机科学 2025-05-19 Qianwen Zhao , Rajarshi Roy , Chad Spurlock , Kevin Lister , Long Wang

The versatility and adaptability of human grasping catalyze advancing dexterous robotic manipulation. While significant strides have been made in dexterous grasp generation, current research endeavors pivot towards optimizing object…

The robotic handling of compliant and deformable food raw materials, characterized by high biological variation, complex geometrical 3D shapes, and mechanical structures and texture, is currently in huge demand in the ocean space,…

Autonomous grasping remains challenging as unlike humans, robots do not possess a sophisticated sensing nor delicate interaction capability with the real environment. Among other efforts that tried to close the gap between them,…

机器人学 · 计算机科学 2022-03-10 Tai Hoang

Human fingers achieve exceptional dexterity and adaptability by combining structures with varying stiffness levels, from soft tissues (low) to tendons and cartilage (medium) to bones (high). This paper explores developing a robotic finger…

In areas that are inaccessible to humans, such as the lunar surface and landslide sites, there is a need for multiple autonomous mobile robot systems that can replace human workers. In particular, at landslide sites such as river channel…

机器人学 · 计算机科学 2026-04-21 Yusuke Tsunoda , Yuya Sato , Koichi Osuka

Contrary to the stunning feats observed in birds of prey, aerial manipulation and grasping with flying robots still lack versatility and agility. Conventional approaches using rigid manipulators require precise positioning and are subject…

机器人学 · 计算机科学 2023-08-15 Samuel Ubellacker , Aaron Ray , James Bern , Jared Strader , Luca Carlone

Although wheeled robots have been predominant for planetary exploration, their geometry limits their capabilities when traveling over steep slopes, through rocky terrains, and in microgravity. Legged robots equipped with grippers are a…

Soft robotics technology can aid in achieving United Nations Sustainable Development Goals (SDGs) and the Paris Climate Agreement through development of autonomous, environmentally responsible machines powered by renewable energy. By…

机器人学 · 计算机科学 2023-03-22 Goffredo Giordano , Saravana Prashanth Murali Babu , Barbara Mazzolai

A new fluid-driven soft robot hand in this study uses the idea of the bionics and has the anthropomorphic form, which is oriented to the flexible grasp function. The soft robot hand is composed of a new kind of multi-freedom soft finger and…

机器人学 · 计算机科学 2021-06-15 Haihang Wang , He Xu , Chen Yang , Xin Li , Siqing Chen

Cross-embodiment dexterous grasping aims to generate stable and diverse grasps for robotic hands with heterogeneous kinematic structures. Existing methods are often tailored to specific hand designs and fail to generalize to unseen hand…

机器人学 · 计算机科学 2026-02-03 Zhiyuan Wu , Xiangyu Zhang , Zhuo Chen , Jiankang Deng , Rolandos Alexandros Potamias , Shan Luo

This work provides a complete framework for the simulation, co-optimization, and sim-to-real transfer of the design and control of soft legged robots. The compliance of soft robots provides a form of "mechanical intelligence" -- the ability…

机器人学 · 计算机科学 2022-02-10 Charles Schaff , Audrey Sedal , Matthew R. Walter

Research in soft manipulators has significantly enhanced object grasping capabilities, thanks to their adaptability to various shapes and sizes. Applying this technology to on-orbit servicing, especially during the capture and containment…

系统与控制 · 电气工程与系统科学 2024-03-26 Fernando Ruiz , Begona Arrue , Anibal Ollero

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…

计算机视觉与模式识别 · 计算机科学 2023-03-28 Yan Zhao , Ruihai Wu , Zhehuan Chen , Yourong Zhang , Qingnan Fan , Kaichun Mo , Hao Dong

Dexterous manipulation, particularly adept coordinating and grasping, constitutes a fundamental and indispensable capability for robots, facilitating the emulation of human-like behaviors. Integrating this capability into robots empowers…

机器人学 · 计算机科学 2024-04-04 Apan Dastider , Hao Fang , Mingjie Lin