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Endoluminal surgery offers a minimally invasive option for early-stage gastrointestinal and urinary tract cancers but is limited by surgical tools and a steep learning curve. Robotic systems, particularly continuum robots, provide flexible…

Three-dimensional shape sensing in soft and continuum robotics is a crucial aspect for stable actuation and control in fields such as Minimally Invasive surgery, as the estimation of complex curvatures while using continuum robotic tools is…

Signal Processing · Electrical Eng. & Systems 2024-03-26 Dalia Osman , Xinli Du , Timothy Minton , Yohan Noh

Robotic assistance has significantly improved the outcomes of open microsurgery and rigid endoscopic surgery, however is yet to make an impact in flexible endoscopic neurosurgery. Some of the most common intracranial procedures for…

Robotics · Computer Science 2024-04-23 Kieran Gilday , Irena Zubak , Andreas Raabe , Josie Hughes

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

Flexible robots hold great promise for enhancing minimally invasive surgery (MIS) by providing superior dexterity, precise control, and safe tissue interaction. Yet, translating these advantages into endoscopic interventions within open…

Shape sensing of medical continuum robots is important both for closed-loop control as well as for enabling the clinician to visualize the robot inside the body. There is a need for inexpensive, but accurate shape sensing technologies. This…

Robotics · Computer Science 2024-10-22 Giovanni Pittiglio , Abdulhamit Donder , Pierre E. Dupont

Continuum robots are well suited for navigating confined and fragile environments, such as vascular or endoluminal anatomy, where contact with surrounding structures is often unavoidable. While controlled contact can assist motion,…

Accurate shape sensing, only achievable through distributed proprioception, is a key requirement for closed-loop control of soft robots. Low-cost power efficient optoelectronic sensors manufactured from flexible materials represent a…

Robotics · Computer Science 2025-02-07 Ellis Capp , Marco Pontin , Peter Walters , Perla Maiolino

As factories continue to evolve into collaborative spaces with multiple robots working together with human supervisors in the loop, ensuring safety for all actors involved becomes critical. Currently, laser-based light curtain sensors are…

Robotics · Computer Science 2024-04-05 Karnik Ram , Shobhit Aggarwal , Robert Tamburo , Siddharth Ancha , Srinivasa Narasimhan

This paper presents a novel multimodal perception system for a real open environment. The proposed system includes an embedded computation platform, cameras, ultrasonic sensors, GPS, and IMU devices. Unlike the traditional frameworks, our…

Robotics · Computer Science 2024-12-03 Yuyang Sha

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…

Robotic platforms are highly programmable, scalable and versatile to complete several tasks including Inspection, Maintenance and Repair (IMR). Mobile robotics offer reduced restrictions in operating environments, resulting in greater…

Robotics · Computer Science 2022-03-25 Daniel Mitchell , Jamie Blanche , Sam T. Harper , Theodore Lim , Valentin Robu , Ikuo Yamamoto , David Flynn

Magnetic soft continuum robots (MSCRs) have emerged as a promising technology for minimally invasive interventions, offering enhanced dexterity and remote-controlled navigation in confined lumens. Unlike conventional guidewires with…

Soft Condensed Matter · Physics 2025-03-13 Dezhong Tong , Zhuonan Hao , Jiyu Li , Boxi Sun , Mingchao Liu , Liu Wang , Weicheng Huang

Tendon-driven continuum robots offer intrinsically safe and contact-rich interactions owing to their kinematic redundancy and structural compliance. However, their perception often depends on external sensors, which increase hardware…

Robotics · Computer Science 2026-05-05 Ibrahim Alsarraj , Yuhao Wang , Abdalla Swikir , Cesare Stefanini , Dezhen Song , Zhanchi Wang , Ke Wu

Due to their flexibility, dexterity, and compact size, Continuum Manipulators (CMs) can enhance minimally invasive interventions. In these procedures, the CM may be operated in proximity of sensitive organs; therefore, requiring accurate…

Robotics · Computer Science 2019-08-14 Shahriar Sefati , Shahin Sefati , Iulian Iordachita , Russell H. Taylor , Mehran Armand

Continuum robots are typically slender and flexible with infinite freedoms in theory, which poses a challenge for their control and application. The shape sensing of continuum robots is vital to realise accuracy control. This letter…

Robotics · Computer Science 2021-03-10 Hao Cheng , Hongji Shang , Bin Lan , Houde Liu , Xueqian Wang , Bin Liang

Soft robots are intrinsically capable of adapting to different environments by changing their shape in response to interaction forces with the environment. However, sensing and feedback are still required for higher level decisions and…

Soft Condensed Matter · Physics 2023-10-18 Shibo Zou , Sergio Picella , Jelle de Vries , Vera Kortman , Aimée Sakes , Johannes T. B. Overvelde

Flexible robots may overcome some of the industry's major challenges, such as enabling intrinsically safe human-robot collaboration and achieving a higher payload-to-mass ratio. However, controlling flexible robots is complicated due to…

Continuum robots possess high flexibility and redundancy, making them well suited for safe interaction in complex environments, yet their continuous deformation and nonlinear dynamics pose fundamental challenges to perception, modeling, and…

Robotics · Computer Science 2026-03-03 Peng Yu , Xin Wang , Ning Tan

Physics-based simulation is essential for developing and evaluating robot manipulation policies, particularly in scenarios involving deformable objects and complex contact interactions. However, existing simulators often struggle to balance…

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