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Traditional robotic manipulator design methods require extensive, time-consuming, and manual trial and error to produce a viable design. During this process, engineers often spend their time redesigning or reshaping components as they…

Robotics · Computer Science 2022-04-15 Lara Zlokapa , Yiyue Luo , Jie Xu , Michael Foshey , Kui Wu , Pulkit Agrawal , Wojciech Matusik

This work proposes a novel generative design tool for passive grippers -- robot end effectors that have no additional actuation and instead leverage the existing degrees of freedom in a robotic arm to perform grasping tasks. Passive…

Graphics · Computer Science 2023-06-07 Milin Kodnongbua , Ian Good Yu Lou , Jeffrey Lipton , Adriana Schulz

Robotic manipulation in dynamic environments often requires seamless transitions between different grasp types to maintain stability and efficiency. However, achieving smooth and adaptive grasp transitions remains a challenge, particularly…

Robotics · Computer Science 2025-09-24 Kuanqi Cai , Chunfeng Wang , Zeqi Li , Haowen Yao , Weinan Chen , Luis Figueredo , Aude Billard , Arash Ajoudani

This paper proposes a combined task and motion planner for a dual-arm robot to use a suction cup tool. The planner consists of three sub-planners -- A suction pose sub-planner and two regrasp and motion sub-planners. The suction pose…

Robotics · Computer Science 2019-09-04 Hao Chen , Weiwei Wan , Kensuke Harada

Grasping objects with diverse mechanical properties, such as heavy, slippery, or fragile items, remains a significant challenge in robotics. Conventional grippers often rely on applying high normal forces, which can cause damage to objects.…

This paper presents an approach to in-hand manipulation planning that exploits the mechanics of alternating sticking contact. Particularly, we consider the problem of manipulating a grasped object using external pushes for which the pusher…

Robotics · Computer Science 2018-03-06 Nikhil Chavan-Dafle , Alberto Rodriguez

This paper presents a sampling-based planning algorithm for in-hand manipulation of a grasped object using a series of external pushes. A high-level sampling-based planning framework, in tandem with a low-level inverse contact dynamics…

Robotics · Computer Science 2017-11-03 Nikhil Chavan-Dafle , Alberto Rodriguez

A robust grip is key to successful manipulation and joining of work pieces involved in any industrial assembly process. Stability of a grip depends on geometric and physical properties of the object as well as the gripper itself. Current…

Robotics · Computer Science 2023-02-08 Stefanie Wucherer , Robert McMurray , Kok Yew Ng , Florian Kerber

Reconstruction of skilled humans sensation and control system often leads to a development of robust control for the robots. We are developing an unscrewing robot for the automated disassembly which requires a comprehensive control system,…

In this work, we present a manipulation planning algorithm for a robot to keep an object stable under changing external forces. We particularly focus on the case where a human may be applying forceful operations, e.g. cutting or drilling,…

Robotics · Computer Science 2018-07-31 Lipeng Chen , Luis F. C. Figueredo , Mehmet Dogar

Manipulation planning and control are relevant building blocks of a robotic system and their tight integration is a key factor to improve robot autonomy and allows robots to perform manipulation tasks of increasing complexity, such as those…

Robots' behavior and performance are determined both by hardware and software. The design process of robotic systems is a complex journey that involves multiple phases. Throughout this process, the aim is to tackle various criteria…

In industry assembly lines, parts feeding machines are widely employed as the prologue of the whole procedure. They play the role of sorting the parts randomly placed in bins to the state with specified pose. With the help of the parts…

Robotics · Computer Science 2019-09-20 Jie Zhao , Xin Jiang , Xiaoman Wang , Shengfan Wang , Yunhui Liu

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

Recently, magnetorheological elastomers have become an interesting smart material with many new designs for robotics. A variety of applications have been built with magnetorheological elastomers, such as vibration absorbers, actuators, or…

Systems and Control · Electrical Eng. & Systems 2026-04-02 Jakub Bernat , Pawel Czopek , Paulina Superczynska , Piotr Gajewski , Agnieszka Marcinkowska

We present a holistic grasping controller, combining free-space position control and in-contact force-control for reliable grasping given uncertain object pose estimates. Employing tactile fingertip sensors, undesired object displacement…

Robotics · Computer Science 2023-11-14 Luca Lach , Séverin Lemaignan , Francesco Ferro , Helge Ritter , Robert Haschke

This paper present a novel dual-speed actuator adapted to robotics. In many applications, robots have to bear large loads while moving slowly and also have to move quickly through the air with almost no load. This lead to conflicting…

Robotics · Computer Science 2024-05-28 Alexandre Girard , H. Harry Asada

Grasping object,whether they are flat, round, or narrow and whether they have regular or irregular shapes,introduces difficulties in determining the ideal grasping posture, even for the most state-of-the-art grippers. In this article, we…

Robotics · Computer Science 2024-05-07 Chenghua Lu , Kailuan Tang , Max Yang , Tianqi Yue , Nathan F. Lepora

An automated prepreg fabric draping system is being developed which consists of an array of actuated grippers. It has the ability to pick up a fabric ply and place it onto a double-curved mold surface. A previous research effort based on a…

Computational Engineering, Finance, and Science · Computer Science 2021-03-09 Christian Krogh , Johnny Jakobsen , James A. Sherwood

Advancing robotic grasping and manipulation requires the ability to test algorithms and/or train learning models on large numbers of grasps. Towards the goal of more advanced grasping, we present the Grasp Reset Mechanism (GRM), a fully…

Robotics · Computer Science 2024-03-01 Kyle DuFrene , Keegan Nave , Joshua Campbell , Ravi Balasubramanian , Cindy Grimm