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Sewing garments using robots has consistently posed a research challenge due to the inherent complexities in fabric manipulation. In this paper, we introduce an intelligent robotic automation system designed to address this issue. By…

Fine manipulation tasks, such as threading cable ties or slotting a battery, are notoriously difficult for robots because they require precision, careful coordination of contact forces, and closed-loop visual feedback. Performing these…

Robotics · Computer Science 2023-04-27 Tony Z. Zhao , Vikash Kumar , Sergey Levine , Chelsea Finn

Bio-inspired algorithms utilize natural processes such as evolution, swarm behavior, foraging, and plant growth to solve complex, nonlinear, high-dimensional optimization problems. However, a plethora of these algorithms require a more…

Mechanism calibration is an important and non-trivial task in robotics. Advances in sensor technology make affordable but increasingly accurate devices such as cameras and tactile sensors available, making it possible to perform automated…

Robotics · Computer Science 2020-09-01 Karla Stepanova , Tomas Pajdla , Matej Hoffmann

Abdominal Undulation with Compliant Mechanism Improves Flight Performance of Biomimetic Robotic ButterflThis paper presents the design, modeling, and experimental validation of a biomimetic robotic butterfly (BRB) that integrates a…

Robotics · Computer Science 2025-03-11 Xuyi Lian , Mingyu Luo , Te Lin , Chen Qian , Tiefeng Li

Recently, industrial robots plays a significant role in intelligent manufacturing. Hence, it is an urgent issue to ensure the robot with the high positioning precision. To address this hot issue, a novel calibration method based on an…

Robotics · Computer Science 2022-04-14 Zhibin Li , Shuai Li , Xin Luo

This paper aims to make a mark in the future of sustainable robotics, where efficient algorithms are required to carry out tasks like environmental monitoring and precision agriculture efficiently. We proposed a hybrid algorithm that…

Optimization and Control · Mathematics 2024-11-26 Sai Krishna Reddy Sathi

Bag manipulation through robots is complex and challenging due to the deformability of the bag. Based on dynamic manipulation strategy, we propose a new framework, ShakingBot, for the bagging tasks. ShakingBot utilizes a perception module…

Robotics · Computer Science 2024-02-26 Ningquan Gu , Zhizhong Zhang , Ruhan He , Lianqing Yu

Mechanizing the manual harvesting of fresh market fruits constitutes one of the biggest challenges to the sustainability of the fruit industry. During manual harvesting of some fresh-market crops like strawberries and table grapes, pickers…

Robotics · Computer Science 2021-11-22 Chen Peng

Autonomous fabric manipulation is a longstanding challenge in robotics, but evaluating progress is difficult due to the cost and diversity of robot hardware. Using Reach, a cloud robotics platform that enables low-latency remote execution…

The paper focuses on the accuracy improvement of stiffness models for parallel manipulators, which are employed in high-speed precision machining. It is based on the integrated methodology that combines analytical and numerical techniques…

Robotics · Computer Science 2009-09-09 Anatoly Pashkevich , Alexandr Klimchik , Damien Chablat , Philippe Wenger

High-performance closed-loop control of truly soft continuum manipulators has remained elusive. Experimental demonstrations have largely relied on sufficiently stiff, piecewise architectures in which each actuated segment behaves as a…

Robotics · Computer Science 2026-04-14 Vito Daniele Perfetta , Daniel Feliu-Talegon , Ebrahim Shahabi , Cosimo Della Santina

Our goal in this work is to expand the theory and practice of robot locomotion by addressing critical challenges associated with the robotic biomimicry of bat aerial locomotion. Bats wings exhibit fast wing articulation and can mobilize as…

Robotics · Computer Science 2021-03-31 Eric Sihite , Andrew Lessieur , Pravin Dangol , Akshath Singhal , Alireza Ramezani

Monitoring crop fields to map features like weeds can be efficiently performed with unmanned aerial vehicles (UAVs) that can cover large areas in a short time due to their privileged perspective and motion speed. However, the need for…

We present a contact-based phenotyping robot platform that can autonomously insert nitrate sensors into cornstalks to proactively monitor macronutrient levels in crops. This task is challenging because inserting such sensors requires…

Robotics · Computer Science 2023-11-08 Moonyoung Lee , Aaron Berger , Dominic Guri , Kevin Zhang , Lisa Coffee , George Kantor , Oliver Kroemer

Microrobotics has the potential to revolutionize many applications including targeted material delivery, assembly, and surgery. The same properties that promise breakthrough solutions---small size and large populations---present unique…

Robotics · Computer Science 2017-06-08 Shiva Shahrokhi , Lillian Lin , Chris Ertel , Mable Wan , Aaron T. Becker

Navigation and inspection in confined environments, such as tunnels and pipes, pose significant challenges for existing robots due to limitations in maneuverability and adaptability to varying geometries. Vine robots, which are soft growing…

Robotics · Computer Science 2025-07-11 Yimeng Qin , Jared Grinberg , William Heap , Allison M. Okamura

The flight of biological butterflies represents a unique aerodynamic regime where high-amplitude, low-frequency wingstrokes induce significant body undulations and inertial fluctuations. While existing tailless flapping-wing micro air…

Soft robot serial chain manipulators with the capability for growth, stiffness control, and discrete joints have the potential to approach the dexterity of traditional robot arms, while improving safety, lowering cost, and providing an…

In this paper we present a study of a specific class of vibration-driven robots: the brushbots. In a bottom-up fashion, we start by deriving dynamic models of the brushes and we discuss the conditions under which these models can be…

Robotics · Computer Science 2019-03-05 Gennaro Notomista , Siddharth Mayya , Anirban Mazumdar , Seth Hutchinson , Magnus Egerstedt
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