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Related papers: Manipulator for people with limited abilities

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Dexterous multi-fingered hands can accomplish fine manipulation behaviors that are infeasible with simple robotic grippers. However, sophisticated multi-fingered hands are often expensive and fragile. Low-cost soft hands offer an appealing…

Machine Learning · Computer Science 2017-03-21 Abhishek Gupta , Clemens Eppner , Sergey Levine , Pieter Abbeel

This paper introduces the i-HY Hand, an underactuated hand driven by 5 actuators that is capable of performing a wide range of grasping and in-hand manipulation tasks. This hand was designed to address the need for a durable, inexpensive,…

Deep learning has provided new ways of manipulating, processing and analyzing data. It sometimes may achieve results comparable to, or surpassing human expert performance, and has become a source of inspiration in the era of artificial…

Complex and contact-rich robotic manipulation tasks, particularly those that involve multi-fingered hands and underactuated object manipulation, present a significant challenge to any control method. Methods based on reinforcement learning…

Machine Learning · Computer Science 2022-12-21 Kelvin Xu , Zheyuan Hu , Ria Doshi , Aaron Rovinsky , Vikash Kumar , Abhishek Gupta , Sergey Levine

Individuals with upper limb movement limitations face challenges in interacting with others. Although robotic arms are currently used primarily for functional tasks, there is considerable potential to explore ways to enhance users' body…

Deformable object manipulation (DOM) for robots has a wide range of applications in various fields such as industrial, service and health care sectors. However, compared to manipulation of rigid objects, DOM poses significant challenges for…

Robotics · Computer Science 2023-12-19 Feida Gu , Yanmin Zhou , Zhipeng Wang , Shuo Jiang , Bin He

The current dominant paradigm for robotic manipulation involves two separate stages: manipulator design and control. Because the robot's morphology and how it can be controlled are intimately linked, joint optimization of design and control…

Robotics · Computer Science 2021-08-25 Jie Xu , Tao Chen , Lara Zlokapa , Michael Foshey , Wojciech Matusik , Shinjiro Sueda , Pulkit Agrawal

We present in-hand manipulation tasks where a robot moves an object in grasp, maintains its external contact mode with the environment, and adjusts its in-hand pose simultaneously. The proposed manipulation task leads to complex contact…

Robotics · Computer Science 2024-03-29 Boyuan Liang , Kei Ota , Masayoshi Tomizuka , Devesh Jha

Assistive robotic devices can be used to help people with upper body disabilities gaining more autonomy in their daily life. Although basic motions such as positioning and orienting an assistive robot gripper in space allow performance of…

The purpose of this paper is to present the construction and programming of a five degrees of freedom robotic arm which interacts with an infrared sensor for the identification and sorting of different sized objects. The main axis of the…

Robotics · Computer Science 2017-11-13 Christos Tolis , George F. Fragulis

Many people with motor disabilities are unable to complete activities of daily living (ADLs) without assistance. This paper describes a complete robotic system developed to provide mobile grasping assistance for ADLs. The system is…

In this paper, we address the development of a robotic rehabilitation system for the upper limbs based on collaborative end-effector solutions. The use of commercial collaborative robots offers significant advantages for this task, as they…

Robotics · Computer Science 2025-08-12 Dario Onfiani , Marco Caramaschi , Luigi Biagiotti , Fabio Pini

Retention of residual skills for persons who partially lose their cognitive or physical ability is of utmost importance. Research is focused on developing systems that provide need-based assistance for retention of such residual skills.…

Robotics · Computer Science 2017-02-01 Rupam Bhattacharyya , Adity Saikia , Shyamanta M. Hazarika

Replicating human-like dexterity in robot hands represents one of the largest open problems in robotics. Reinforcement learning is a promising approach that has achieved impressive progress in the last few years; however, the class of…

Humans excel in complex long-horizon soft body manipulation tasks via flexible tool use: bread baking requires a knife to slice the dough and a rolling pin to flatten it. Often regarded as a hallmark of human cognition, tool use in…

Robotics · Computer Science 2023-10-19 Haochen Shi , Huazhe Xu , Samuel Clarke , Yunzhu Li , Jiajun Wu

Dynamic motions are a key feature of robotic arms, enabling them to perform tasks quickly and efficiently. Soft continuum manipulators do not currently consider dynamic parameters when operating in task space. This shortcoming makes…

Robotics · Computer Science 2022-10-19 Oliver Fischer , Yasunori Toshimitsu , Amirhossein Kazemipour , Robert K. Katzschmann

Assistive robotic systems have shown growing potential to improve the quality of life of those with disabilities. As researchers explore the automation of various caregiving tasks, considerations for how the technology can still preserve…

Highly constrained manipulation tasks continue to be challenging for autonomous robots as they require high levels of precision, typically less than 1mm, which is often incompatible with what can be achieved by traditional perception…

Robotics · Computer Science 2021-12-20 Andrew S. Morgan , Bowen Wen , Junchi Liang , Abdeslam Boularias , Aaron M. Dollar , Kostas Bekris

Autonomous surgery involves having surgical tasks performed by a robot operating under its own will, with partial or no human involvement. There are several important advantages of automation in surgery, which include increasing precision…

Robotics · Computer Science 2017-07-12 Michael Yip , Nikhil Das
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