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Handheld grippers are increasingly used to collect human demonstrations due to their ease of deployment and versatility. However, most existing designs lack tactile sensing, despite the critical role of tactile feedback in precise…

Robotics · Computer Science 2025-11-13 Xinyue Zhu , Binghao Huang , Yunzhu Li

Gestures are a natural form of communication between humans and can also be leveraged for human-robot interaction. This work presents a gesture-based user interface for object selection using pointing and click gestures. An experiment with…

Robotics · Computer Science 2026-04-08 Bijan Kavousian , Oliver Petrovic , Werner Herfs

Hybrid rigid-soft robots combine the precision of rigid manipulators with the compliance and adaptability of soft arms, offering a promising approach for versatile grasping in unstructured environments. However, coordinating hybrid robots…

In this paper, we consider the problem of non-prehensile manipulation using grasped objects. This problem is a superset of many common manipulation skills including instances of tool-use (e.g., grasped spatula flipping a burger) and…

Robotics · Computer Science 2024-05-29 Miquel Oller , Dmitry Berenson , Nima Fazeli

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…

Robotic grasping is one of the most fundamental robotic manipulation tasks and has been actively studied. However, how to quickly teach a robot to grasp a novel target object in clutter remains challenging. This paper attempts to tackle the…

Robotics · Computer Science 2021-04-07 Yang Yang , Yuanhao Liu , Hengyue Liang , Xibai Lou , Changhyun Choi

Grasping is a fundamental skill for interacting with and manipulating objects in the environment. However, this ability can be challenging for individuals with hand impairments. Soft hand exoskeletons designed to assist grasping can enhance…

Robotics · Computer Science 2025-04-07 Chen Hu , Enrica Tricomi , Eojin Rho , Daekyum Kim , Lorenzo Masia , Shan Luo , Letizia Gionfrida

Humans excel at grasping objects and manipulating them. Capturing human grasps is important for understanding grasping behavior and reconstructing it realistically in Virtual Reality (VR). However, grasp capture - capturing the pose of a…

Computer Vision and Pattern Recognition · Computer Science 2019-07-18 Samarth Brahmbhatt , Charles C. Kemp , James Hays

Open Arms is a novel open-source platform of realistic human-like robotic hands and arms hardware with 28 Degree-of-Freedom (DoF), designed to extend the capabilities and accessibility of humanoid robotic grasping and manipulation. The Open…

Soft robotic fingers can improve adaptability in grasping and manipulation, compensating for geometric variation in object or environmental contact, but today lack force capacity and fine dexterity. Integrated tactile sensors can provide…

Robotics · Computer Science 2024-10-28 Hun Jang , Joonbum Bae , Kevin Haninger

Having the ability to estimate an object's properties through interaction will enable robots to manipulate novel objects. Object's dynamics, specifically the friction and inertial parameters have only been estimated in a lab environment…

Robotics · Computer Science 2021-01-20 Balakumar Sundaralingam , Tucker Hermans

In industrial applications, complex tasks require human collaboration since the robot doesn't have enough dexterity. However, the robots are still implemented as tools and not as collaborative intelligent systems. To ensure safety in the…

In this work, we present a multimodal system for active robot-object interaction using laser-based SLAM, RGBD images, and contact sensors. In the object manipulation task, the robot adjusts its initial pose with respect to obstacles and…

Robotics · Computer Science 2018-09-11 Luis Contreras , Hiroki Yokoyama , Hiroyuki Okada

The verification of successful grasps is a crucial aspect of robot manipulation, particularly when handling deformable objects. Traditional methods relying on force and tactile sensors often struggle with deformable and non-rigid objects.…

Robotics · Computer Science 2025-05-07 Pau Amargant , Peter Hönig , Markus Vincze

Handling non-rigid objects using robot hands necessities a framework that does not only incorporate human-level dexterity and cognition but also the multi-sensory information and system dynamics for robust and fine interactions. In this…

This paper proposes a wearable-controlled mobile manipulator system for intelligent smart home assistance, integrating MEMS capacitive microphones, IMU sensors, vibration motors, and pressure feedback to enhance human-robot interaction. The…

Robotics · Computer Science 2025-04-21 Xiao Jin , Bo Xiao , Huijiang Wang , Wendong Wang , Zhenhua Yu

This work describes the development of a high-resolution tactile-sensing finger for robot grasping. This finger, inspired by previous GelSight sensing techniques, features an integration that is slimmer, more robust, and with more…

Robotics · Computer Science 2018-05-16 Elliott Donlon , Siyuan Dong , Melody Liu , Jianhua Li , Edward Adelson , Alberto Rodriguez

The perception and recognition of the surroundings is one of the essential tasks for a robot. With preliminary knowledge about a target object, it can perform various manipulation tasks such as rolling motion, palpation, and force control.…

The study of robotic manipulators is the main goal of Industrial Robotics Class, part of Control Engineers training course. There is a difficulty in preparing academic practices and projects in the area of robotics due to the high cost of…

Robotic affordances, providing information about what actions can be taken in a given situation, can aid robotic manipulation. However, learning about affordances requires expensive large annotated datasets of interactions or…

Robotics · Computer Science 2024-06-07 Pietro Mazzaglia , Taco Cohen , Daniel Dijkman