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Artificial intelligence is essential to succeed in challenging activities that involve dynamic environments, such as object manipulation tasks in indoor scenes. Most of the state-of-the-art literature explores robotic grasping methods by…

Robotics · Computer Science 2019-05-28 Paola Ardón , Èric Pairet , Ron Petrick , Subramanian Ramamoorthy , Katrin Lohan

This chapter is about the fundamentals of fabrication, control, and human-robot interaction of a new type of collaborative robotic manipulators, called malleable robots, which are based on adjustable architectures of varying stiffness for…

Robotics · Computer Science 2025-02-07 Angus B. Clark , Xinran Wang , Alex Ranne , Nicolas Rojas

This study proposed a novel robotic gripper that can achieve grasping and infinite wrist twisting motions using a single actuator. The gripper is equipped with a differential gear mechanism that allows switching between the grasping and…

Robotics · Computer Science 2022-11-11 Toshihiro Nishimura , Yosuke Suzuki , Tokuo Tsuji , Tetsuyou Watanabe

I present the design, implementation and control of a novel, linkage-based, underactuated hand exoskeleton aimed to assist patients with hand disabilities during grasping tasks for robot assisted physical rehabilitation or robot assisted…

Robotics · Computer Science 2020-03-27 Mine Sarac Stroppa

Constraining contacts to remain fixed on an object during manipulation limits the potential workspace size, as motion is subject to the hand's kinematic topology. Finger gaiting is one way to alleviate such restraints. It allows contacts to…

Robotics · Computer Science 2022-03-04 Andrew S. Morgan , Kaiyu Hang , Bowen Wen , Kostas Bekris , Aaron M. Dollar

Novel robotic grippers have captured increasing interests recently because of their abilities to adapt to varieties of circumstances and their powerful functionalities. Differing from traditional gripper with mechanical components-made…

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…

Modern robotic manipulation systems fall short of human manipulation skills partly because they rely on closing feedback loops exclusively around vision data, which reduces system bandwidth and speed. By developing autonomous grasping…

Robotics · Computer Science 2023-03-08 Andrew SaLoutos , Hongmin Kim , Elijah Stanger-Jones , Menglong Guo , Sangbae Kim

A problem that plagues robotic grasping is the misalignment of the object and gripper due to difficulties in precise localization, actuation, etc. Under-actuated robotic hands with compliant mechanisms are used to adapt and compensate for…

Robotics · Computer Science 2023-09-21 Naoki Fukaya , Avinash Ummadisingu , Kuniyuki Takahashi , Guilherme Maeda , Shin-ichi Maeda

In this paper we explore state-of-the-art underactuated, compliant robot gripper designs through looking at their performance on a generic grasping task. Starting from a state of the art open gripper design, we propose design…

Robotics · Computer Science 2016-01-19 Eduardo Ruiz , Walterio Mayol-Cuevas

Bimanual robot manipulators can achieve impressive dexterity, but typically rely on two full six- or seven- degree-of-freedom arms so that paired grippers can coordinate effectively. This traditional framework increases system complexity…

Robot grasping of deformable hollow objects such as plastic bottles and cups is challenging as the grasp should resist disturbances while minimally deforming the object so as not to damage it or dislodge liquids. We propose minimal work as…

Robotics · Computer Science 2019-09-26 Jingyi Xu , Michael Danielczuk , Jeff Ichnowski , Jeffrey Mahler , Eckehard Steinbach , Ken Goldberg

While classical formulations of multi-armed bandit problems assume that each arm's reward is independent and stationary, real-world applications often involve non-stationary environments and interdependencies between arms. In particular,…

Machine Learning · Computer Science 2025-06-19 Ryoma Sato , Shinji Ito

Objects with large base areas become ungraspable when they exceed the end-effector's maximum aperture. Existing approaches address this limitation through extrinsic dexterity, which exploits environmental features for non-prehensile…

Robotics · Computer Science 2025-04-01 Yuhan Wang , Yu Li , Yaodong Yang , Yuanpei Chen

Robotics hand/grippers nowadays are not limited to manufacturing lines; instead, they are widely utilized in cluttered environments, such as restaurants, farms, and warehouses. In such scenarios, they need to deal with high uncertainty of…

Robotics · Computer Science 2024-02-15 Son Tien Bui , Shinya Kawano , Van Anh Ho

Human hands can not only grasp objects of various shape and size and manipulate them in hands but also exert such a large gripping force that they can support the body in the situations such as dangling a bar and climbing a ladder. On the…

Human can not only support their body during standing or walking, but also support them by hand, so that they can dangle a bar and others. But most humanoid robots support their body only in the foot and they use their hand just to…

Robotics · Computer Science 2024-03-27 Shogo Makino , Kento Kawaharazuka , Masaya Kawamura , Yuki Asano , Kei Okada , Masayuki Inaba

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…

Robotics · Computer Science 2026-03-13 Leo Lin , Shivansh Patel , Jay Moon , Svetlana Lazebnik , Unnat Jain

This paper proposes a novel robotic hand design for assembly tasks. The idea is to combine two simple grippers -- an inner gripper which is used for precise alignment, and an outer gripper which is used for stable holding. Conventional…

Robotics · Computer Science 2018-09-13 Kaidi Nie , Weiwei Wan , Kensuke Harada

Most robotic hands and grippers rely on actuators with large gearboxes and force sensors for controlling gripping force. However, this might not be ideal for tasks that require the robot to interact with an unstructured and unknown…

Robotics · Computer Science 2024-05-30 Jay Best , Amin Fakhari