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Surface cracks in infrastructure can lead to severe deterioration and expensive maintenance if not efficiently repaired. Manual repair methods are labor-intensive, time-consuming, and imprecise. While advancements in robotic perception and…

Robotics · Computer Science 2025-08-13 Joshua Genova , Eric Cabrera , Vedhus Hoskere

Achieving 3D spatial awareness is crucial for surgical robotic manipulation, where precise and delicate operations are required. Existing methods either explicitly reconstruct the surgical scene prior to manipulation, or enhance multi-view…

Robotics · Computer Science 2026-03-05 Yu Sheng , Lidian Wang , Xiaomeng Chu , Jiajun Deng , Min Cheng , Yanyong Zhang , Bei Hua , Houqiang Li , Jianmin Ji

Robotic-assisted surgeries benefit both surgeons and patients, however, surgeons frequently need to adjust the endoscopic camera to achieve good viewpoints. Simultaneously controlling the camera and the surgical instruments is impossible,…

Machine Learning · Computer Science 2022-02-08 Hanna Kossowsky , Ilana Nisky

Emerging paradigms furthering the reach of medical technology deeper into human anatomy present unique modeling, control and sensing problems. This paper discusses a brief history of medical robotics leading to the current trend of…

Robotics · Computer Science 2018-07-11 Nabil Simaan , Rashid M. Yasin , Long Wang

The ignition of flammable liquids and gases in offshore oil and gas environments is a major risk and can cause loss of life, serious injury, and significant damage to infrastructure. Power supplies that are used to provide regulated…

Robotics · Computer Science 2019-03-27 Stephen T. Mahon , Anthony Buchoux , Mohammed E. Sayed , Lijun Teng , Adam A. Stokes

Soft robots have demonstrated superior flexibility and functionality than conventional rigid robots. These versatile devices can respond to a wide range of external stimuli (including light, magnetic field, heat, electric field, etc.), and…

Robotics · Computer Science 2024-01-23 Jiaqi Miao , Siqi Sun

In this paper, we present a synergic learning algorithm to address the task of indirect manipulation of an unknown deformable tissue. Tissue manipulation is a common yet challenging task in various surgical interventions, which makes it a…

Autonomous surgical robots have demonstrated significant potential to standardize surgical outcomes, driving innovations that enhance safety and consistency regardless of individual surgeon experience. Deep anterior lamellar keratoplasty…

Robotics · Computer Science 2024-10-21 Y. Wang , J. D. Opfermann , J. Yu , H. Yi , J. Kaluna , R. Biswas , R. Zuo , W. Gensheimer , A. Krieger , J. U. Kang

Colonoscopy is considered the golden standard for cancer screening of the lower gastrointestinal (GI) tract, with screening programs all over the world considering lowering the recommended screening age. Nonetheless, conventional…

Robotics · Computer Science 2022-09-20 Vanni Consumi , Lukas Lindenroth , Jeref Merlin , Danail Stoyanov , Agostino Stilli

In endovascular surgery, endovascular interventionists push a thin tube called a catheter, guided by a thin wire to a treatment site inside the patient's blood vessels to treat various conditions such as blood clots, aneurysms, and…

Imagine a robot that can assemble a functional product from the individual parts presented in any configuration to the robot. Designing such a robotic system is a complex problem which presents several open challenges. To bypass these…

Robotic laparoscopic surgery has gained increasing attention in recent years for its potential to deliver more efficient and precise minimally invasive procedures. However, adoption of surgical robotic platforms remains largely confined to…

Intraoperative ultrasound imaging is used to facilitate safe brain tumour resection. However, due to challenges with image interpretation and the physical scanning, this tool has yet to achieve widespread adoption in neurosurgery. In this…

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

In various surgical procedures, regions of interest (ROIs) such as organs or lesions are often occluded by overlying tissues, requiring surgeons to achieve adequate exposure for precise intervention. However, the irregular geometry,…

Robotics · Computer Science 2026-05-19 Jiayi Liu , Kaiqi Wei , Yiwei Wang , Huan Zhao , Han Ding

Advanced machine learning algorithms require platforms that are extremely robust and equipped with rich sensory feedback to handle extensive trial-and-error learning without relying on strong inductive biases. Traditional robotic designs,…

Minimally invasive surgery (MIS) offers several advantages including minimum tissue injury and blood loss, and quick recovery time, however, it imposes some limitations on surgeons ability. Among others such as lack of tactile or haptic…

Robotics · Computer Science 2021-09-07 Shahnewaz Ali , Yaqub Jonmohamadi , Ross Crawford , Davide Fontanarosa , Ajay K. Pandey

In the context of telehealth, robotic approaches have proven a valuable solution to in-person visits in remote areas, with decreased costs for patients and infection risks. In particular, in ultrasonography, robots have the potential to…

Robotics · Computer Science 2024-04-16 Luca Beber , Edoardo Lamon , Davide Nardi , Daniele Fontanelli , Matteo Saveriano , Luigi Palopoli

Soft robots are compliant but often cannot support loads or hold their shape, while rigid robots provide structural strength but are less adaptable. Existing variable-stiffness systems usually operate at the scale of whole segments or…

Robotics · Computer Science 2026-03-10 Zihan Oliver Zeng , Jiajun An , Preston Luk , Upinder Kaur