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Robotic-assisted dressing has the potential to significantly aid both patients as well as healthcare personnel, reducing the workload and improving the efficiency in clinical settings. While substantial progress has been made in robotic…

Robotics · Computer Science 2025-12-23 David Blanco-Mulero , Júlia Borràs , Carme Torras

Robotic-assisted procedures offer numerous advantages over traditional approaches, including improved dexterity, reduced fatigue, minimized trauma, and superior outcomes. However, the main challenge of these systems remains the poor…

With the goal of developing fully autonomous cooking robots, developing robust systems that can chop a wide variety of objects is important. Existing approaches focus primarily on the low-level dynamics of the cutting action, which…

Robotics · Computer Science 2023-07-26 Atharva Dikshit , Alison Bartsch , Abraham George , Amir Barati Farimani

Advanced robotic manipulation of deformable, volumetric objects remains one of the greatest challenges due to their pliancy, frailness, variability, and uncertainties during interaction. Motivated by these challenges, this article…

A robot-assisted feeding system must successfully acquire many different food items. A key challenge is the wide variation in the physical properties of food, demanding diverse acquisition strategies that are also capable of adapting to…

When humans perform contact-rich manipulation tasks, customized tools are often necessary to simplify the task. For instance, we use various utensils for handling food, such as knives, forks and spoons. Similarly, robots may benefit from…

Robotics · Computer Science 2023-02-28 Mengxi Li , Rika Antonova , Dorsa Sadigh , Jeannette Bohg

One important vision of robotics is to provide physical assistance by manipulating different everyday objects, e.g., hand tools, kitchen utensils. However, many objects designed for dexterous hand-control are not easily manipulable by a…

Robotics · Computer Science 2022-05-17 Jiahao Li , Alexis Samoylov , Jeeeun Kim , Xiang 'Anthony' Chen

Multi-step dexterous manipulation is a fundamental skill in household scenarios, yet remains an underexplored area in robotics. This paper proposes a modular approach, where each step of the manipulation process is addressed with dedicated…

Robot-assisted feeding can greatly enhance the lives of those with mobility limitations. Modern feeding systems can pick up and position food in front of a care recipient's mouth for a bite. However, many with severe mobility constraints…

Learning from human demonstrations has exhibited remarkable achievements in robot manipulation. However, the challenge remains to develop a robot system that matches human capabilities and data efficiency in learning and generalizability,…

Robotics · Computer Science 2024-01-05 Dingkun Guo

Folding garments reliably and efficiently is a long standing challenge in robotic manipulation due to the complex dynamics and high dimensional configuration space of garments. An intuitive approach is to initially manipulate the garment to…

Robotics · Computer Science 2022-09-13 Yahav Avigal , Lars Berscheid , Tamim Asfour , Torsten Kröger , Ken Goldberg

An appropriate user interface to collect human demonstration data for deformable object manipulation has been mostly overlooked in the literature. We present an interaction design for demonstrating cloth folding to robots. Users choose pick…

To support humans in their daily lives, robots are required to autonomously learn, adapt to objects and environments, and perform the appropriate actions. We tackled on the task of cooking scrambled eggs using real ingredients, in which the…

Robotics · Computer Science 2025-09-18 Namiko Saito , Mayu Tatsumi , Ayuna Kubo , Kanata Suzuki , Hiroshi Ito , Shigeki Sugano , Tetsuya Ogata

Assistance during eating is essential for those with severe mobility issues or eating risks. However, dependence on traditional human caregivers is linked to malnutrition, weight loss, and low self-esteem. For those who require eating…

Robotics · Computer Science 2023-03-14 Lorenzo Shaikewitz , Yilin Wu , Suneel Belkhale , Jennifer Grannen , Priya Sundaresan , Dorsa Sadigh

This thesis is concerned with deriving planning algorithms for robot manipulators. Manipulation has two effects, the robot has a physical effect on the object, and it also acquires information about the object. This thesis presents…

Robotics · Computer Science 2022-01-20 Claudio Zito

Robotics has shown significant potential in assisting people with disabilities to enhance their independence and involvement in daily activities. Indeed, a societal long-term impact is expected in home-care assistance with the deployment of…

Robotics · Computer Science 2025-03-21 Davide Torielli , Liana Bertoni , Luca Muratore , Nikos Tsagarakis

We introduce an efficient approach for learning dexterous grasping with minimal data, advancing robotic manipulation capabilities across different robotic hands. Unlike traditional methods that require millions of grasp labels for each…

Robotics · Computer Science 2025-02-25 Hao-Shu Fang , Hengxu Yan , Zhenyu Tang , Hongjie Fang , Chenxi Wang , Cewu Lu

The growing presence of service robots in human-centric environments, such as warehouses, demands seamless and intuitive human-robot collaboration. In this paper, we propose a collaborative shelf-picking framework that combines multimodal…

Robotics · Computer Science 2025-04-10 Abhinav Pathak , Kalaichelvi Venkatesan , Tarek Taha , Rajkumar Muthusamy

This paper presents a novel concept to support physically impaired humans in daily object manipulation tasks with a robot. Given a user's manipulation sequence, we propose a predictive model that uniquely casts the user's sequential…

Robotics · Computer Science 2023-09-11 Theodoros Stouraitis , Michael Gienger

Robot-assisted dressing could benefit the lives of many people such as older adults and individuals with disabilities. Despite such potential, robot-assisted dressing remains a challenging task for robotics as it involves complex…

Robotics · Computer Science 2023-06-22 Yufei Wang , Zhanyi Sun , Zackory Erickson , David Held