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With humankind facing new and increasingly large-scale challenges in the medical and domestic spheres, automation of the service sector carries a tremendous potential for improved efficiency, quality, and safety of operations. Mobile…

Design of robots at the small scale is a trial-and-error based process, which is costly and time-consuming. There are no good dynamic simulation tools to predict the motion or performance of a microrobot as it moves against a substrate. At…

机器人学 · 计算机科学 2019-07-31 Jiayin Xie , Chenghao Bi , David J. Cappelleri , Nilanjan Chakraborty

Autonomous robotic surgery has the potential to provide efficacy, safety, and consistency independent of individual surgeons skill and experience. Autonomous soft-tissue surgery in unstructured and deformable environments is especially…

机器人学 · 计算机科学 2021-07-06 H. Saeidi , J. D. Opfermann , M. Kam , S. Wei , S. Leonard , M. H. Hsieh , J. U. Kang , A. Krieger

To enable general-purpose robots, we will require the robot to operate daily articulated objects as humans do. Current robot manipulation has heavily relied on using a parallel gripper, which restricts the robot to a limited set of objects.…

机器人学 · 计算机科学 2023-05-11 Chen Bao , Helin Xu , Yuzhe Qin , Xiaolong Wang

Assistive machines endow people with limited mobility the opportunity to live more independently. However, operating these machines poses risks to the safety of the human operator as well as the surrounding environment. Thus, proper user…

人机交互 · 计算机科学 2022-05-19 Mahdieh Nejati Javaremi , Sisilia Sinaga , Yuming Jin , Matthew L. Elwin , Brenna Argall

Physics-based simulations have accelerated progress in robot learning for driving, manipulation, and locomotion. Yet, a fast, accurate, and robust surgical simulation environment remains a challenge. In this paper, we present…

Robotic dexterous hands are central to contact-rich manipulation, with rapid progress driven by advances in hardware, sensing, control, simulation, and data generation. However, existing studies are often developed under different…

机器人学 · 计算机科学 2026-05-18 Weiguang Zhao , Tian Liang , Xihao Guo , Rui Zhang , Irwin King , Kaizhu Huang

Robot teleoperation has been studied for the past 70 years and is relevant in many contexts, such as in the handling of hazardous materials and telesurgery. The COVID19 pandemic has rekindled interest in this topic, but the existing robotic…

机器人学 · 计算机科学 2024-11-07 Murilo M. Marinho , Hung-Ching Lin , Jiawei Zhao

In the evolving landscape of education, robotics has emerged as a powerful tool for fostering creativity, critical thinking, and problem-solving skills among students of all ages. This innovative approach to learning seamlessly integrates…

机器人学 · 计算机科学 2023-12-12 Athanasios Karagounis

Surgical robotics is a rapidly evolving field that is transforming the landscape of surgeries. Surgical robots have been shown to enhance precision, minimize invasiveness, and alleviate surgeon fatigue. One promising area of research in…

机器人学 · 计算机科学 2023-09-06 Cheng Qian , Hongliang Ren

The upper limb robotic exoskeleton is an electromechanical device which use to recover a patients motor dysfunction in the rehabilitation field. It can provide repetitive, comprehensive, focused, positive, and precise training to regain the…

机器人学 · 计算机科学 2024-09-01 Sanjukta Halder , Amit Kumar

Autonomous robots have the potential to serve as versatile caregivers that improve quality of life for millions of people worldwide. Yet, conducting research in this area presents numerous challenges, including the risks of physical…

机器人学 · 计算机科学 2019-10-11 Zackory Erickson , Vamsee Gangaram , Ariel Kapusta , C. Karen Liu , Charles C. Kemp

Soft robotics has emerged as a transformative technology in Search and Rescue (SAR) operations, addressing challenges in navigating complex, hazardous environments that often limit traditional rigid robots. This paper critically examines…

机器人学 · 计算机科学 2025-02-19 Abhishek Sebastian

We present an ongoing project that aims to develop a social robot to help children cope with painful and distressing medical procedures in a clinical setting. Our approach uses automated planning as a core component for action selection in…

机器人学 · 计算机科学 2022-10-19 Alan Lindsay , Andres Ramirez-Duque , Ronald P. A. Petrick , Mary Ellen Foster

Robotic technology can support the creation of new tools that improve the creative process of cinematography. It is crucial to consider the specific requirements and perspectives of industry professionals when designing and developing these…

机器人学 · 计算机科学 2023-04-18 Pragathi Praveena , Bengisu Cagiltay , Michael Gleicher , Bilge Mutlu

Recent work has demonstrated the ability of deep reinforcement learning (RL) algorithms to learn complex robotic behaviours in simulation, including in the domain of multi-fingered manipulation. However, such models can be challenging to…

Deploying robots in open-ended unstructured environments such as homes has been a long-standing research problem. However, robots are often studied only in closed-off lab settings, and prior mobile manipulation work is restricted to…

机器人学 · 计算机科学 2024-01-30 Haoyu Xiong , Russell Mendonca , Kenneth Shaw , Deepak Pathak

In this paper, we study cost-effective home robot solutions which are designed for home health monitoring. The recent advancements in Artificial Intelligence (AI) have significantly advanced the capabilities of the robots, enabling them to…

机器人学 · 计算机科学 2024-09-26 Bo Wei , Yaya Bian , Mingcen Gao

While there have been significant strides in dexterous manipulation, most of it is limited to benchmark tasks like in-hand reorientation which are of limited utility in the real world. The main benefit of dexterous hands over two-fingered…

机器人学 · 计算机科学 2023-12-06 Ananye Agarwal , Shagun Uppal , Kenneth Shaw , Deepak Pathak

Human dexterity is an invaluable capability for precise manipulation of objects in complex tasks. The capability of robots to similarly grasp and perform in-hand manipulation of objects is critical for their use in the ever changing human…

机器人学 · 计算机科学 2024-10-25 Abraham Itzhak Weinberg , Alon Shirizly , Osher Azulay , Avishai Sintov