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Handovers are basic yet sophisticated motor tasks performed seamlessly by humans. They are among the most common activities in our daily lives and social environments. This makes mastering the art of handovers critical for a social and…

Robotics · Computer Science 2023-04-06 Parag Khanna , Mårten Björkman , Christian Smith

Transfer of objects between humans and robots is a critical capability for collaborative robots. Although there has been a recent surge of interest in human-robot handovers, most prior research focus on robot-to-human handovers. Further,…

Robotics · Computer Science 2020-03-16 Wei Yang , Chris Paxton , Maya Cakmak , Dieter Fox

Achieving precise and generalizable grasping across diverse objects and environments is essential for intelligent and collaborative robotic systems. However, existing approaches often struggle with ambiguous affordance reasoning and limited…

Robotics · Computer Science 2025-03-11 Ruixiang Wang , Huayi Zhou , Xinyue Yao , Guiliang Liu , Kui Jia

Multi-degree of freedom robots are playing very important role in different applications of automation. They are providing much more accuracy in carrying out a typical procedure as compared to the manual work done by human. In recent years…

Robotics · Computer Science 2020-12-29 Param Kothari

We present a novel under-actuated gripper with two 3-joint fingers, which realizes force feedback control by the deep learning technique- Long Short-Term Memory (LSTM) model, without any force sensor. First, a five-linkage mechanism stacked…

Robotics · Computer Science 2025-06-19 Jihao Li , Keqi Zhu , Guodong Lu , I-Ming Chen , Huixu Dong

We study gravitational pivoting, a constrained version of in-hand manipulation, where we aim to control the rotation of an object around the grip point of a parallel gripper. To achieve this, instead of controlling the gripper to avoid…

Robotics · Computer Science 2022-10-12 Jason Toskov , Rhys Newbury , Mustafa Mukadam , Dana Kulić , Akansel Cosgun

In this paper we focus on the following problem in multi-fingered robotic grasping: assuming that an external wrench is being applied to a grasped object, will the contact forces between the hand and the object, as well as the hand joints,…

Robotics · Computer Science 2018-01-23 Maximilian Haas-Heger , Garud Iyengar , Matei Ciocarlie

Tendon-based underactuated hands are intended to be simple, compliant and affordable. Often, they are 3D printed and do not include tactile sensors. Hence, performing in-hand object recognition with direct touch sensing is not feasible.…

Robotics · Computer Science 2024-01-31 Julius Arolovitch , Osher Azulay , Avishai Sintov

Dexterous grasping of unseen objects in dynamic environments is an essential prerequisite for the advanced manipulation of autonomous robots. Prior advances rely on several assumptions that simplify the setup, including environment…

Robotics · Computer Science 2024-04-09 Yannick Burkhardt , Qian Feng , Jianxiang Feng , Karan Sharma , Zhaopeng Chen , Alois Knoll

The progressive prevalence of robots in human-suited environments has given rise to a myriad of object manipulation techniques, in which dexterity plays a paramount role. It is well-established that humans exhibit extraordinary dexterity…

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…

Current approaches to grasp planning for robotics demonstrate high success rates, but degrade with noisy sensors and other factors. Previous works have proposed tactile-based grasp stability classifiers to detect failures, but these…

Robotics · Computer Science 2026-05-08 Kyle DuFrene , Cindy Grimm

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

Grasping objects with limited or no prior knowledge about them is a highly relevant skill in assistive robotics. Still, in this general setting, it has remained an open problem, especially when it comes to only partial observability and…

Robotics · Computer Science 2026-01-21 Matthias Humt , Dominik Winkelbauer , Ulrich Hillenbrand , Berthold Bäuml

Compared to traditional rigid robotics, soft robotics has attracted increasing attention due to its advantages as compliance, safety, and low cost. As an essential part of soft robotics, the soft robotic gripper also shows its superior…

Robotics · Computer Science 2021-12-30 Xing Wang , Hanwen Kang , Hongyu Zhou , Wesley Au , Chao Chen

This paper is a summary of the recently accomplished research work on flexible gripping systems. The goal is to develop a gripper which can be used for a great amount of geometrically variant workpieces. The economic aspect is of particular…

Robotics · Computer Science 2007-05-23 Michael Sdahl , Bernd Kuhlenkoetter

Human hands are able to grasp a wide range of object sizes, shapes, and weights, achieved via reshaping and altering their apparent grasping stiffness between compliant power and rigid precision. Achieving similar versatility in robotic…

Robotics · Computer Science 2023-09-27 Digby Chappell , Fernando Bello , Petar Kormushev , Nicolas Rojas

Anthropomorphic underactuated hands are valued for their structural simplicity and inherent adaptability. However, the uncertainty arising from interdependent joint motions makes it challenging to capture various grasp states during…

Robotics · Computer Science 2025-12-01 Jae-Hyun Lee , Jonghoo Park , Kyu-Jin Cho

While the grasping capability of robotic grippers has shown significant development, the ability to manipulate objects within the hand is still limited. One explanation for this limitation is the lack of controlled contact variation between…

Robotics · Computer Science 2024-04-16 Qiujie Lu , Angus B. Clark , Matthew Shen , Nicolas Rojas

Generating stable and robust grasps on arbitrary objects is critical for dexterous robotic hands, marking a significant step towards advanced dexterous manipulation. Previous studies have mostly focused on improving differentiable grasping…

Robotics · Computer Science 2024-04-26 Sirui Chen , Jeannette Bohg , C. Karen Liu
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