Artificial intelligence
Amazon's latest technological advancements, including smart glasses and robotic systems, are designed to accelerate deliveries and boost efficiency, but experts warn of potential U.S. job losses due to rapid automation. The e-commerce giant's emphasis on artificial intelligence and robotics may alleviate worker safety concerns, but
Employers
Amazon's automation team has set its sights on replacing more than half a million jobs with robots, documents reveal. The company, which has hired hundreds of thousands of warehouse workers over the past two decades, is on the cusp of a significant shift, as it aims to automate
Robotics industry
Amazon's rapid transformation is underway, with the company poised to replace over 500,000 jobs with robots. The e-commerce giant has recruited hundreds of thousands of warehouse workers, built a vast network of contract drivers, and pioneered the use of technology to manage its workforce. Since 2018, Amazon&
Robotic surgery
Research investigators from Intuitive Surgical Inc. have developed a novel temporal annotation guide library for robotic procedures, accompanied by a standardized ontology framework for surgical video annotation. This breakthrough aims to enable comparisons of surgical insights and large-scale data analysis for exceptional surgical practice. The research has been peer-reviewed and
Robotics industry
Researchers at Beijing Jiaotong University have developed a novel adaptive closed-chain leg mechanism that enables a multi-legged robot to overcome obstacles and adapt to varying terrains. The mechanism combines single-power swing-driven actuation, high-rigidity stable load-bearing, and adaptive reconfigurable obstacle-crossing characteristics. By establishing a single-power seven-bar nine-joint mechanism configuration and performing
Robotics industry
Researchers from Beijing Jiaotong University have developed a new soft actuator that can be rapidly folded and restored to its original shape, opening up possibilities for robotics and remote control applications. The kirigami-based soft actuator (KBSA) utilizes highly elastic material and can retain a certain height post-compression, making it stable
Robotics industry
Researchers at Czech Technical University have successfully designed and validated a minimal configuration brachiation robot with a single rigid rod and gripper mechanisms. Funded by the Agency of the Czech Technical University, the European Union's Robotics and Advanced Industrial Production project, and the Grant Agency of the Czech
Robotics industry
A team of researchers at Brunel University London has proposed a novel 3D path planning method that combines the Neuro-Evolution of Augmenting Topologies (NEAT) algorithm with offline inverse kinematics (IK) checking to address the challenges of coverage completeness and path executability in mobile robotic arm planning for industrial ultrasonic nondestructive
Robotics industry
Researchers at Nitte (Deemed to be University) have explored the effectiveness of deep learning models in solving the inverse kinematics problem in robotic manipulators. The study aimed to evaluate the performance of different neural architectures in predicting joint configurations from end-effector positions across various workspace regions. The investigation employed two
Robotics industry
A recent study published in the International Journal of Computational Methods has shed new light on the capabilities of parallel manipulators (PMs) in robotics. Researchers at the Indian School of Mines have developed a neural network (NN) model that enables real-time manipulation of 6-DOF all-revolute parallel manipulators with high accuracy.
Robotics industry
Soft robotics is a promising field that has the potential to revolutionize various industries. However, conventional shape memory alloy (SMA)-based systems are limited in achieving effective bidirectional motion. Researchers from South China University of Technology have developed Paired Fluid-Mediated Bidirectional Shape Memory Alloy (Paired-FBSMA) actuators, which couple thermally driven
Robotics industry
Researchers from the School of Electrical Engineering have proposed a novel adaptive robust fault-tolerant controller for symmetrical robotic manipulators subject to model uncertainties and actuator failures. The innovative design integrates the advantages of a hyperbolic tangent function-based practical sliding manifold and a fast terminal sliding manifold. This structure eliminates the
