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We introduce a sample-efficient method for learning state-dependent stiffness control policies for dexterous manipulation. The ability to control stiffness facilitates safe and reliable manipulation by providing compliance and robustness to…

Robotics · Computer Science 2021-09-16 Mincheol Kim , Scott Niekum , Ashish D. Deshpande

Common disabilities like stroke and spinal cord injuries may cause loss of motor function in hands. They can be treated with robot assisted rehabilitation techniques, like continuously opening and closing the hand with help of a robot, in a…

Robotics · Computer Science 2022-12-15 Cem Suulker , Sophie Skach , Kaspar Althoefer

Studies suggest that involuntary eye movements exhibit greater stability during active motion compared to passive motion, and this effect may also apply to the operation of ride-on machinery. Moreover, a study suggested that experimentally…

Human-Computer Interaction · Computer Science 2026-02-26 Muhammad Akmal Bin Mohammed Zaffir , Daisuke Sakai , Yuki Sato , Takahiro Wada

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…

Robotics enables a variety of unconventional actuation strategies to be used for endoscopes, resulting in reduced trauma to the GI tract. For transmission of force to distally mounted endoscopic instruments, robotically actuated tendon…

Medical Physics · Physics 2017-03-17 Tian En Timothy Seah , Thanh Nho Do , Nobuyoshi Takeshita , Khek Yu Ho , Soo Jay Phee

One of the most frequent and severe aftermaths of a stroke is the loss of upper limb functionality. Therapy started in the sub-acute phase proved more effective, mainly when the patient participates actively. Recently, a novel set of…

Robotics · Computer Science 2023-12-21 Marina Gnocco , Manuel G. Catalano , Giorgio Grioli , Carlo Trompetto , Antonio Bicchi

This study addresses the challenge of low dexterity in teleoperation tasks caused by limited sensory feedback and visual occlusion. We propose a novel approach that integrates haptic feedback into teleoperation using the adaptive triggers…

Technological advances in multi-articulated prosthetic hands have outpaced the methods available to amputees to intuitively control these devices. Amputees often cite difficulty of use as a key contributing factor for abandoning their…

This work presents a fault-tolerant control scheme for sensory faults in robotic manipulators based on active inference. In the majority of existing schemes, a binary decision of whether a sensor is healthy (functional) or faulty is made…

Robotics · Computer Science 2022-03-30 Mohamed Baioumy , Corrado Pezzato , Carlos Hernandez Corbato , Nick Hawes , Riccardo Ferrari

The restriction of feasible motions of a manipulator link constrained to move through an entry port is a common problem in minimum invasive surgery procedures. Additional spatial restrictions are required to ensure the safety of sensitive…

Robotics · Computer Science 2022-03-04 Theodora Kastritsi , Zoe Doulgeri

Legged robots are typically in rigid contact with the environment at multiple locations, which add a degree of complexity to their control. We present a method to control the motion and a subset of the contact forces of a floating-base…

Robotics · Computer Science 2014-10-17 Andrea Del Prete , Nicolas Mansard , Francesco Nori , Giorgio Metta , Lorenzo Natale

Occlusions caused by a robot's own body is a common problem for closed-loop control methods employed in eye-to-hand camera setups. We propose an optimization-based reactive controller that minimizes self-occlusions while achieving a desired…

As robots shift from industrial to human-centered spaces, adopting mobile manipulators, which expand workspace capabilities, becomes crucial. In these settings, seamless interaction with humans necessitates compliant control. Two common…

Robotics · Computer Science 2024-03-21 Jelmer de Wolde , Luzia Knoedler , Gianluca Garofalo , Javier Alonso-Mora

This paper focuses on the scalable robot learning for manipulation in the dexterous robot arm-hand systems, where the remote human-robot interactions via augmented reality (AR) are established to collect the expert demonstration data for…

Machine Learning · Computer Science 2026-02-10 Yicheng Yang , Ruijiao Li , Lifeng Wang , Shuai Zheng , Shunzheng Ma , Keyu Zhang , Tuoyu Sun , Chenyun Dai , Jie Ding , Zhuo Zou

Transcatheter valve repair presents significant challenges due to the mechanical limitations and steep learning curve associated with manual catheter systems. This paper investigates the use of robotics to facilitate transcatheter…

Robotics · Computer Science 2025-10-07 Léa Pistorius , Namrata U. Nayar , Phillip Tran , Sammy Elmariah , Pierre E. Dupont

In this paper, we presented a new method for deformation control of deformable objects, which utilizes both visual and tactile feedback. At present, manipulation of deformable objects is basically formulated by assuming positional…

Robotics · Computer Science 2021-06-01 Yuhao Guo , Xin Jiang , Yunhui Liu

Generally, humanoid robots usually suffer significant impact force when walking or running in a non-predefined environment that could easily damage the actuators due to high stiffness. In recent years, the usages of passive, compliant…

Robotics · Computer Science 2022-01-25 Anh Khoa Lanh Luu , Van Tu Duong , Huy Hung Nguyen , Sang Bong Kim , Tan Tien Nguyen

Instrument-tissue interaction forces in Minimally Invasive Surgery (MIS) provide valuable information that can be used to provide haptic perception, monitor tissue trauma, develop training guidelines, and evaluate the skill level of novice…

Robotics · Computer Science 2024-01-29 A. H. Hadi Hosseinabadi , S. E. Salcudean

Spine injections are commonly performed in several clinical procedures. The localization of the target vertebral level (i.e. the position of a vertebra in a spine) is typically done by back palpation or under X-ray guidance, yielding either…

Image and Video Processing · Electrical Eng. & Systems 2020-02-27 Maria Tirindelli , Maria Victorova , Javier Esteban , Seong Tae Kim , David Navarro-Alarcon , Yong Ping Zheng , Nassir Navab

In order to provide therapy in a functional context, controls for wearable robotic orthoses need to be robust and intuitive. We have previously introduced an intuitive, user-driven, EMG-based method to operate a robotic hand orthosis, but…

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