Artificial intelligence
Researchers from the Department of Artificial Intelligence have developed a novel navigation algorithm for home service robots to optimize power consumption. The study proposes a method to locate the robot's position and angle with minimal power expenditure, followed by optimal path planning and obstacle avoidance. According to the
Artificial intelligence
Yann LeCun, the chief AI scientist at Meta, has sounded the alarm on the burgeoning humanoid robot industry, stating that most companies focus on building hardware rather than developing the intelligence required to make robots useful. LeCun's warning came during the inaugural MIT Generative AI Impact Symposium, where
Periodical publishing
A recent study published in Business & Information Systems Engineering revealed that Status Quo Bias (SQB) can hinder the adoption of Robotic Process Automation (RPA) in organizations. Researchers from the South Westphalia University of Applied Sciences conducted an experiment and a qualitative case study to investigate the effects of SQB
Robotics
The 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025) brought together leading robotics professionals from around the world to discuss the latest advancements in robotics technology. Kepler Robotics, a Shanghai-based company, introduced its humanoid robot K2 "Bumblebee" at the conference, demonstrating significant improvements in
Robotics
Amazon is building an army of robots, including Sparrow, Cardinal, and Proteus, that are replacing human workers in its warehouses. The e-commerce giant is using a multi-pronged approach to automation, addressing a central tension in robotics development. By categorizing its operations into six types of automation, Amazon aims to create
Robotics
Researchers from the University of Granada, in collaboration with Colombian and Spanish institutions, have developed an innovative approach to machine learning for robotic arms. Despite the challenges of accessing real-world data in robotics due to restrictions on sharing and limited availability, the team employed federated learning to train a model
COVID-19
Research conducted by the School of Computer Science and Engineering has revealed the significant impact of the COVID-19 pandemic on robotics education. The study, published in the IEEE Access journal, surveyed instructors on their use of equipment and access methods in hands-on robotics activities. The findings indicate that the pandemic
Artificial intelligence
Neura Robotics GmbH has filed a trademark application for "NEURA AI", a brand that encompasses its innovative robotics and artificial intelligence (AI) solutions. The application, submitted by N. Alexander Nolte Nolte Lackenbach Siegel, highlights the company's commitment to advancing robotics and AI technologies. The trademark application
Robotics
Pothole detection is a significant issue for road infrastructure, causing vehicle damage, increased maintenance costs, and safety risks for road users. Recent research has focused on developing techniques to accurately and promptly detect potholes, utilizing technologies such as computer vision, sensors, machine learning, and crowdsourcing. A comprehensive review of these
Robotics
Researchers have made significant strides in developing a novel speaker recognition technique that combines SincNet-based raw waveform processing with an adaptive neuro-fuzzy inference system (ANFIS). This approach has shown robust performance and enhanced model transparency, making it an ideal solution for intelligent home service robots. The technique addresses the challenges
Periodical publishing
Researchers at the Karlsruhe Institute of Technology (KIT) have proposed a novel framework for robotics and automation called MoRe-ERL. This framework combines episodic reinforcement learning (ERL) and residual learning to refine preplanned reference trajectories into safe, feasible, and efficient task-specific trajectories. According to the research, MoRe-ERL identifies trajectory segments requiring
Robotics
Researchers at the University of Bologna have developed an innovative planetary gearbox for robotic applications, named 'Omni', which combines the Wolfrom planetary architecture with beveloid gears to achieve small transmission ratios in a compact shape. The Omni gearbox has been designed to ensure minimal torsional backlash and has
