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With soft robotics being increasingly employed in settings demanding high and controlled contact forces, recent research has demonstrated the use of soft robots to estimate or intrinsically sense forces without requiring external sensing…

机器人学 · 计算机科学 2021-11-22 Lukas Lindenroth , Danail Stoyanov , Kawal Rhode , Hongbin Liu

Minimally invasive surgery (MIS) has revolutionized many procedures and led to reduced recovery time and risk of patient injury. However, MIS poses additional complexity and burden on surgical teams. Data-driven surgical vision algorithms…

计算机视觉与模式识别 · 计算机科学 2025-02-11 Oluwatosin Alabi , Tom Vercauteren , Miaojing Shi

Minimally invasive surgery (MIS) reduces patient trauma and shortens recovery time; however, conventional laparoscopic instruments remain constrained by limited range of movements. This work presents the control architecture of a 4-DOF…

This paper presents a miniature tension sensor using a photo-reflector, designed for compact tendon-driven grippers and robotic hands. The proposed sensor has a small form factor of 13~mm x 7~mm x 6.5~mm and is capable of measuring tensile…

机器人学 · 计算机科学 2025-07-02 Hyun-Bin Kim , Kyung-Soo Kim

We investigate a method to modulate contact forces between the soft fingers of a two-finger gripper and an object, without relying on tactile sensors. This work is a follow-up to our previous results on contact detection. Here, our…

机器人学 · 计算机科学 2024-10-03 Stephanie O. Herrera , Tae Myung Huh , Dejan Milutinovic

We address the challenge of reliable and accurate proprioception in soft robots, specifically those with tight packaging constraints and relying only on internally embedded sensors. While various sensing approaches with single sensors have…

We investigate grasping of rigid objects in unilateral robot-assisted minimally invasive surgery (RAMIS) in this paper. We define a human-centered transparency that quantifies natural action and perception in RAMIS. We demonstrate this…

人机交互 · 计算机科学 2018-05-16 Amit Milstein , Tzvi Ganel , Sigal Berman , Ilana Nisky

This paper addresses the problem of selecting from a choice of possible grasps, so that impact forces will be minimised if a collision occurs while the robot is moving the grasped object along a post-grasp trajectory. Such considerations…

机器人学 · 计算机科学 2017-07-27 Nikos Mavrakis , Amir M. Ghalamzan E. , Rustam Stolkin

Having the ability to estimate an object's properties through interaction will enable robots to manipulate novel objects. Object's dynamics, specifically the friction and inertial parameters have only been estimated in a lab environment…

机器人学 · 计算机科学 2021-01-20 Balakumar Sundaralingam , Tucker Hermans

Bilateral control, a remote-control technique, is used to work at a distance. However, many existing bilateral control systems have two common problems: 1) it is difficult to create a system like a human hand, that has multiple degrees of…

生物物理 · 物理学 2018-11-12 Yuu Hasegawa , Tomoya Kitamura , Sho Sakaino , Toshiaki Tsuji

In minimally invasive telesurgery, obtaining accurate force information is difficult due to the complexities of in-vivo end effector force sensing. This constrains development and implementation of haptic feedback and force-based automated…

机器人学 · 计算机科学 2024-03-28 Shuyuan Yang , My H. Le , Kyle R. Golobish , Juan C. Beaver , Zonghe Chua

The human-machine interface is of critical importance for master-slave control of the robotic system for surgery, in which current systems offer the control or two robotic arms teleoperated by the surgeon's hands. To relax the need for…

机器人学 · 计算机科学 2019-05-28 Huang Yanpei

We propose a method that simultaneously estimates and controls extrinsic contact with tactile feedback. The method enables challenging manipulation tasks that require controlling light forces and accurate motions in contact, such as…

机器人学 · 计算机科学 2023-03-07 Sangwoon Kim , Devesh K. Jha , Diego Romeres , Parag Patre , Alberto Rodriguez

Seams are information-rich components of garments. The presence of different types of seams and their combinations helps to select grasping points for garment handling. In this paper, we propose a new Seam-Informed Strategy (SIS) for…

Detection of slip during object grasping and manipulation plays a vital role in object handling. Existing solutions primarily rely on visual information to devise a strategy for grasping. However, for robotic systems to attain a level of…

机器人学 · 计算机科学 2024-04-30 Xiaohai Hu , Aparajit Venkatesh , Yusen Wan , Guiliang Zheng , Neel Jawale , Navneet Kaur , Xu Chen , Paul Birkmeyer

Estimating a soft robot's pose and applied forces, also called proprioception, is crucial for safe interaction of the robot with its environment. However, most solutions for soft robot proprioception use dedicated sensors, particularly for…

机器人学 · 计算机科学 2024-09-26 Ran Jing , Meredith L. Anderson , Juan C. Pacheco Garcia , Andrew P. Sabelhaus

Controlling fine-grained forces during manipulation remains a core challenge in robotics. While robot policies learned from robot-collected data or simulation show promise, they struggle to generalize across the diverse range of real-world…

One of the most important research challenges in upper-limb prosthetics is enhancing the user-prosthesis communication to closely resemble the experience of a natural limb. As prosthetic devices become more complex, users often struggle to…

机器人学 · 计算机科学 2025-03-04 Giuseppe Stracquadanio , Federico Vasile , Elisa Maiettini , Nicolò Boccardo , Lorenzo Natale

Although the multi-jointed underactuated manipulator is highly dexterous, its grasping capacity does not match that of the parallel jaw gripper. This work introduces a fractal gripper to enhance the grasping capacity of multi-joint…

机器人学 · 计算机科学 2024-02-27 Jiaxin Huang , Jian Shen , Yilin Zheng , Zhigong Song

Robot arms that assist humans should be able to pick up, move, and release everyday objects. Today's assistive robot arms use rigid grippers to pinch items between fingers; while these rigid grippers are well suited for large and heavy…

机器人学 · 计算机科学 2022-10-31 Shaunak A. Mehta , Yeunhee Kim , Joshua Hoegerman , Michael D. Bartlett , Dylan P. Losey