中文
相关论文

相关论文: A Precise Real-Time Force-Aware Grasping System fo…

200 篇论文

Active perception in vision-based robotic manipulation aims to move the camera toward more informative observation viewpoints, thereby providing high-quality perceptual inputs for downstream tasks. Most existing active perception methods…

机器人学 · 计算机科学 2026-01-21 Deyun Qin , Zezhi Liu , Hanqian Luo , Xiao Liang , Yongchun Fang

We propose a robotic manipulation system that can pivot objects on a surface using vision, wrist force and tactile sensing. We aim to control the rotation of an object around the grip point of a parallel gripper by allowing rotational slip,…

机器人学 · 计算机科学 2023-10-09 Shiyu Xu , Tianyuan Liu , Michael Wong , Dana Kulić , Akansel Cosgun

Humans can quickly determine the force required to grasp a deformable object to prevent its sliding or excessive deformation through vision and touch, which is still a challenging task for robots. To address this issue, we propose a novel…

机器人学 · 计算机科学 2020-06-24 Shaowei Cui , Rui Wang , Junhang Wei , Fanrong Li , Shuo Wang

Grasping objects of different shapes and sizes - a foundational, effortless skill for humans - remains a challenging task in robotics. Although model-based approaches can predict stable grasp configurations for known object models, they…

机器人学 · 计算机科学 2022-11-22 Malte Mosbach , Sven Behnke

Autonomous delivery of goods using a MAV is a difficult problem, as it poses high demand on the MAV's control, perception and manipulation capabilities. This problem is especially challenging if the exact shape, location and configuration…

Successfully manipulating many everyday objects, such as potato chips, requires precise force regulation. Failure to modulate force can lead to task failure or irreversible damage to the objects. Humans can precisely achieve this by…

机器人学 · 计算机科学 2026-02-11 Xuhui Kang , Tongxuan Tian , Sung-Wook Lee , Binghao Huang , Yunzhu Li , Yen-Ling Kuo

Soft robotic grippers are shown to be high effective for grasping unstructured objects with simple sensing and control strategies. However, they are still limited by their speed, sensing capabilities and actuation mechanism. Hence, their…

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.…

In recent years, there has been a significant effort dedicated to developing efficient, robust, and general human-to-robot handover systems. However, the area of flexible handover in the context of complex and continuous objects' motion…

机器人学 · 计算机科学 2023-08-31 Gu Zhang , Hao-Shu Fang , Hongjie Fang , Cewu Lu

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.…

This paper presents a method to control a manipulator system grasping a rigid-body payload so that the motion of the combined system in consequence of externally applied forces to be the same as another free-floating rigid-body (with…

机器人学 · 计算机科学 2022-09-20 Farhad Aghili

Robotic manipulation has made significant advancements, with systems demonstrating high precision and repeatability. However, this remarkable precision often fails to translate into efficient manipulation of thin deformable objects. Current…

机器人学 · 计算机科学 2025-07-09 Chao Zhao , Chunli Jiang , Lifan Luo , Shuai Yuan , Qifeng Chen , Hongyu Yu

We consider the problem of grasping deformable objects with soft shells using a robotic gripper. Such objects have a center-of-mass that changes dynamically and are fragile so prone to burst. Thus, it is difficult for robots to generate…

机器人学 · 计算机科学 2025-10-14 Yonghyun Lee , Sungeun Hong , Min-gu Kim , Gyeonghwan Kim , Changjoo Nam

Aerial manipulators are increasingly used in contact-based industrial applications, where tasks like drilling and pushing require platforms to exert significant forces in multiple directions. To enhance force generation capabilities,…

机器人学 · 计算机科学 2024-09-16 Tong Hui , Stefan Rucareanu , Esteban Zamora , Simone D'Angelo , Haotian Liu , Matteo Fumagalli

Human-robot interaction will play an essential role in various industries and daily tasks, enabling robots to effectively collaborate with humans and reduce their physical workload. Most of the existing approaches for physical human-robot…

机器人学 · 计算机科学 2024-12-04 Guanrui Li , Xinyang Liu , Giuseppe Loianno

Grasping deformable objects with varying stiffness remains a significant challenge in robotics. Estimating the local stiffness of a target object is important for determining an optimal grasp pose that enables stable pickup without damaging…

机器人学 · 计算机科学 2026-03-31 Ngoc Duy Tran , Yeman Fan , Feng Dai , Khang Nguyen , Anh Nguyen , Hoang Hiep Ly , Tung D. Ta , Shigeru Chiba

Flapping wings enable flying animals and biomimetic robots to generate elevated aerodynamic forces. Measurements that demonstrate this capability are based on tethered experiments with robots and animals, and indirect force calculations…

流体动力学 · 物理学 2014-09-02 David Lentink , Andreas F. Haselsteiner , Rivers Ingersoll

Perception in robot manipulation has been actively explored with the goal of advancing and integrating vision and touch for global and local feature extraction. However, it is difficult to perceive certain object internal states, and the…

机器人学 · 计算机科学 2023-08-04 Shihan Lu , Heather Culbertson

Tactile sensing and the manipulation of delicate objects are critical challenges in robotics. This study presents a vision-based magnetic-actuated whisker array sensor that integrates these functions. The sensor features eight whiskers…

机器人学 · 计算机科学 2026-03-11 Zhixian Hu , Juan Wachs , Yu She

This paper introduces the TacFR-Gripper, a reconfigurable Fin Ray-based soft and compliant robotic gripper equipped with tactile skin, which can be used for dexterous in-hand manipulation tasks. This gripper can adaptively grasp objects of…

机器人学 · 计算机科学 2023-11-20 Qingzheng Cong , Wen Fan , Dandan Zhang