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Continuum arms, such as trunk and tentacle robots, lie between the two extremities of rigid and soft robots and promise to capture the best of both worlds in terms of manipulability, dexterity, and compliance. This paper proposes a new…

Robotics · Computer Science 2019-07-16 Ali A. Nazari , Diego Castro , Isuru S. Godage

Positron Emission Tomography (PET) enables functional imaging of deep brain structures, but the bulk and weight of current systems preclude their use during many natural human activities, such as locomotion. The proposed long-term solution…

Robotics · Computer Science 2023-12-07 Junxiang Wang , Ti Wu , Iulian I. Iordachita , Peter Kazanzides

Continuum Dexterous Manipulators (CDMs) are well-suited tools for minimally invasive surgery due to their inherent dexterity and reachability. Nonetheless, their flexible structure and non-linear curvature pose significant challenges for…

Continuum robots are flexible, thin manipulators capable of navigating confined or delicate environments making them well suited for surgical applications. Previous approaches to continuum robot state estimation typically rely on…

Robotics · Computer Science 2026-02-24 James M. Ferguson , Alan Kuntz , Tucker Hermans

The precise control of soft and continuum robots requires knowledge of their shape, which has, in contrast to classical rigid robots, infinite degrees of freedom. To partially reconstruct the shape, proprioceptive techniques use built-in…

Exploration of confined spaces, such as pipelines and ducts, remains challenging for conventional rigid robots due to limited space, irregular geometry, and restricted access. Inspired by caterpillar locomotion and sensing, this paper…

Robotics · Computer Science 2026-03-11 Zhixian Hu , Yu She , Juan Wachs

The safety and accuracy of robotic navigation hold paramount importance, especially in the realm of soft continuum robotics, where the limitations of traditional rigid sensors become evident. Encoders, piezoresistive, and potentiometer…

Robotics · Computer Science 2024-04-22 Eric Vincent Galeta , Ayman A. Nada , Sabah M. Ahmed , Victor Parque , Haitham El-Hussieny

State estimation of robotic systems is essential to implementing feedback controllers, which usually provide better robustness to modeling uncertainties than open-loop controllers. However, state estimation of soft robots is very…

Robotics · Computer Science 2024-08-01 Tongjia Zheng , Qing Han , Hai Lin

Magnetic Soft Catheters (MSCs) are capable of miniaturization due to the use of an external magnetic field for actuation. Through careful design of the magnetic elements within the MSC and the external magnetic field, the shape along the…

Robotics · Computer Science 2023-11-01 Joshua Davy , Peter Lloyd , James H. Chandler , Pietro Valdastri

Advancement of imaging techniques enables consecutive image sequences to be acquired for quality monitoring of manufacturing production lines. Registration for these image sequences is essential for in-line pattern inspection and metrology,…

Computer Vision and Pattern Recognition · Computer Science 2022-09-08 Rui Ma , Xian Du

Soft continuum robots can allow for biocompatible yet compliant motions, such as the ability of octopus arms to swim, crawl, and manipulate objects. However, current state-of-the-art continuum robots can only achieve real-time task-space…

Robotics · Computer Science 2025-09-16 Eron Ristich , Jiahe Wang , Lei Zhang , Sultan Haidar Ali , Wanxin Jin , Yi Ren , Jiefeng Sun

Tendon-driven continuum robots have been gaining popularity in medical applications due to their ability to curve around complex anatomical structures, potentially reducing the invasiveness of surgery. However, accurate modeling is required…

Robotics · Computer Science 2024-04-08 Brian Y. Cho , Daniel S. Esser , Jordan Thompson , Bao Thach , Robert J. Webster , Alan Kuntz

Existing shape estimation methods for deformable object manipulation suffer from the drawbacks of being off-line, model dependent, noise-sensitive or occlusion-sensitive, and thus are not appropriate for manipulation tasks requiring high…

Robotics · Computer Science 2018-09-27 Tao Han , Xuan Zhao , Peigen Sun , Jia Pan

As bipedal robots become more and more popular in commercial and industrial settings, the ability to control them with a high degree of reliability is critical. To that end, this paper considers how to accurately estimate which feet are…

Robotics · Computer Science 2026-02-12 J. Joe Payne , Daniel A. Hagen , Denis Garagić , Aaron M. Johnson

Reconstructing the shape of continuum manipulators from sparse, noisy sensor data is a challenging task, owing to the infinite-dimensional nature of such systems. Existing approaches broadly trade off between parametric methods that yield…

Robotics · Computer Science 2026-04-20 Lorenzo Ticozzi , Patricio A. Vela , Panagiotis Tsiotras

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…

Micro-scale continuum robots face significant limitations in achieving three-dimensional contact force perception, primarily due to structural miniaturization, nonlinear mechanical, and sensor integration. To overcome these limitations,…

Robotics · Computer Science 2026-03-10 Gang Zhang , Junyan Yan , Jibiao Chen , Shing Shin Cheng

This paper presents a shape-aware whole-body control framework for tendon-driven continuum robots with direct application to endoluminal surgical navigation. Endoluminal procedures, such as bronchoscopy, demand precise and safe navigation…

Robotics · Computer Science 2025-10-15 Mohammadreza Kasaei , Mostafa Ghobadi , Mohsen Khadem

Design of robots at the small scale is a trial-and-error based process, which is costly and time-consuming. There are few dynamic simulation tools available to accurately predict the motion or performance of untethered microrobots as they…

Robotics · Computer Science 2020-10-08 Jiayin Xie , Chenghao Bi , David J. Cappelleri , Nilanjan Chakraborty

Accurate inertial parameter identification is crucial for the simulation and control of robots encountering intermittent contact with the environment. Classically, robots' inertial parameters are obtained from CAD models that are not…

Robotics · Computer Science 2025-03-19 Shahram Khorshidi , Murad Dawood , Benno Nederkorn , Maren Bennewitz , Majid Khadiv