King Faisal Specialist Hospital and Research Centre - Wikipedia
fully robotic liver transplant from a living donor. In 2024, the hospital performed the world’s first fully robotic heart transplant on a 16-year-old patient
fully robotic liver transplant from a living donor. In 2024, the hospital performed the world’s first fully robotic heart transplant on a 16-year-old patient
ROS2 driver for the Continental ARS548 Radar 4D (⭐ 70)
Jul 4, 2025 · An MIT robotic probe quickly measures photoconductance in new semiconductor materials. By dramatically increasing the speed at which scientists can characterize these materials, this …
Dec 10, 2025 · Like a growing vine, a new robotic gripper can snake around and lift a variety of objects, including a glass vase and a watermelon, offering a gentler approach than conventional gripper …
Feb 17, 2026 · Discover how robots can help push the realms of science and engineering with the latest robotics news, features and articles.
Eye-in-hand cameras have shown promise in enabling greater sample efficiency and generalization in vision-based robotic manipulation. However, for robotic imitation, it is still expensive to have a human teleoperator collect large amounts of expert d...
Robotic grasp detection task is still challenging, particularly for novel objects. With the recent advance of deep learning, there have been several works on detecting robotic grasp using neural networks. Typically, regression based grasp detection m...
It is a crucial problem in robotics field to cage an object using robots like multifingered hand. However the problem what is the caging for general geometrical objects and robots has not been well-described in mathematics though there were many rigo...
We discuss a platform that has both software and hardware components, and whose purpose is to support research into characterizing and mitigating the sim-to-real gap in robotics and vehicle autonomy engineering. The software is operating-system indep...
The field of robotics, and more especially humanoid robotics, has several established competitions with research oriented goals in mind. Challenging the robots in a handful of tasks, these competitions provide a way to gauge the state of the art in r...
Web-based applications are highly accessible to users, providing rich, interactive content while eliminating the need to install software locally. However, evolutionary robotics (ER) has faced challenges in this domain as web-based technologies have...
We introduce Genie Envisioner (GE), a unified world foundation platform for robotic manipulation that integrates policy learning, evaluation, and simulation within a single video-generative framework. At its core, GE-Base is a large-scale, instructio...
Everything you need to build my Gateway ESP32 smartwatch project! (⭐ 197)
Legged robots are being used to explore rough terrains as they are capable of traversing gaps and obstacles. In this paper, a new mechanism is designed to replicate a robotic lizard using integrated five-bar mechanisms. There are two five bar mechani...
Robotic sensorimotor extensions (supernumerary limbs, prosthesis, handheld tools) are worn devices used to interact with the nearby environment, whether to assist the capabilities of impaired users or to enhance the dexterity of industrial operators....
Points: 373 | Comments: 185 | Author: bookofjoe
We introduce a neural network approach for generating and customizing the trajectory of a robotic arm, that guarantees precision and repeatability. To highlight the potential of this novel method, we describe the design and implementation of the tech...
Successful human-robot collaboration depends on cohesive communication and a precise understanding of the robot's abilities, goals, and constraints. While robotic manipulators offer high precision, versatility, and productivity, they exhibit expressi...
Grasping is fundamental to robotic manipulation, and recent advances in large-scale grasping datasets have provided essential training data and evaluation benchmarks, accelerating the development of learning-based methods for robust object grasping....
To accurately pour drinks into various containers is an essential skill for service robots. However, drink pouring is a dynamic process and difficult to model. Traditional deep imitation learning techniques for implementing autonomous robotic pouring...