Robotics News and Research

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AI Robot Masters Coffee-Making, Paving the Way for Smarter Machines

Researchers at the University of Edinburgh have developed an AI-powered robotic arm that can prepare coffee in a busy kitchen, showcasing human-like adaptability. The breakthrough combines AI, sensitive sensors, and refined motor skills, enabling the robot to navigate unpredictable environments and respond dynamically to real-world interactions.

19 Mar 2025

inait and Microsoft Join Forces to Revolutionize AI with Digital Brain Technology

inait partners with Microsoft to scale its digital brain AI, leveraging neuroscience-driven intelligence for fintech and robotics transformation.

18 Mar 2025

AI-Powered Digital Twins Can Now Think, Learn, and Act in Real Time

Scientists have developed an AI-powered Intelligent Acting Digital Twin (IADT) that can autonomously control real-world machines in real-time, marking a shift from passive monitoring to active decision-making.

17 Mar 2025

AI Tracks Students' Eyes to Personalize Math Learning and Boost Performance

Researchers from TUM and the University of Cologne have developed an AI-powered system that uses webcam-based eye tracking to analyze how students approach math problems and tailor learning materials accordingly. This affordable technology allows teachers to provide individualized math support to more students simultaneously.

12 Mar 2025

AI-Powered Labs of the Future Will Supercharge Scientific Breakthroughs

Scientists at ORNL and leading institutions have mapped a vision for AI-driven autonomous research labs, aiming to revolutionize scientific discovery through automation and interconnected systems.

26 Feb 2025

Brain-Inspired BIG Framework Revolutionizes Autonomous Navigation with Smarter Exploration

Researchers have developed the BIG framework, a brain-inspired navigation system that enhances efficiency and reduces computational demands for autonomous exploration in complex environments.

24 Feb 2025

Smarter Fins: AI Optimizes Biohybrid Rays for Peak Efficiency

Researchers at Harvard SEAS and NTT Research used machine-learning-directed optimization (ML-DO) to design biohybrid mini-rays that swim twice as efficiently as conventional biomimetic models, marking a breakthrough in biohybrid robotics.

16 Feb 2025

Torque Clustering Revolutionizes AI by Mimicking Natural Intelligence

Researchers have developed Torque Clustering, a new AI algorithm that mimics natural intelligence, enabling unsupervised learning with unprecedented accuracy and efficiency.

11 Feb 2025

AI and Automation Transform Catalyst Discovery, But Humans Remain Crucial

Self-driving laboratories (SDLs) integrate AI and automation to accelerate catalyst discovery, but human scientists remain essential for guiding AI-driven experiment planning. Instead of full automation, breakthroughs will come from redesigning experiments, using proxy tests, and keeping humans in the loop.

11 Feb 2025

Next-Gen 6G Trials Showcase AI, Sustainability, and Industry Innovation

A groundbreaking initiative is set to redefine how 6G technology supports sustainability and industry transformation. Through large-scale trials across Europe, the 6G-VERSUS project aims to showcase the commercial and environmental potential of next-generation networks.

5 Feb 2025

MIT Engineers Develop Scalable Safety System for Drones and Multiagent Robots

MIT engineers have developed a training method for multiagent systems, enabling drones to safely operate in crowded environments. Their approach allows small-scale safety training to scale up, ensuring collision-free operations for thousands of autonomous agents.

3 Feb 2025

AI Job Boom Defies Market Decline as ChatGPT Reshapes Hiring

AI job postings in the U.S. surged by 68% from Q4 2022 to Q4 2024, despite an overall 17% decline in job postings. A new study from the University of Maryland highlights the "ChatGPT effect" driving this trend, with AI roles expanding across multiple economic sectors.

3 Feb 2025

Foundation Models Transform 3D AI by Bridging Vision, Language, and Spatial Learning

Researchers explore how foundation models, originally developed for 2D vision and language tasks, are revolutionizing 3D point cloud understanding by leveraging multimodal learning techniques.

2 Feb 2025

AI Thrives in Real-World Chaos After Training in Calm, Simulated Environments

MIT researchers discovered that training AI agents in noise-free simulated environments, termed the "indoor training effect," can improve their performance in noisy real-world scenarios, challenging the conventional wisdom of matching training and testing environments. This phenomenon was observed across various Atari games and could lead to better AI training methods.

29 Jan 2025

Researchers Chart Roadmap for Brain-Like Computing to Outpace Traditional AI

Neuromorphic computing systems must scale by emulating the brain’s energy-efficient sparsity, hierarchical organization, and dynamic learning, while addressing hardware/software co-design and collaboration gaps. Researchers outline a roadmap to bridge lab prototypes to real-world AI, robotics, and healthcare applications through interdisciplinary innovation.

23 Jan 2025

Embodied AI Model Learns Like a Toddler, Revealing Secrets of Cognitive Development

Researchers at OIST have developed an embodied intelligence model that mimics how children learn to generalize by combining sensory inputs and language, offering insights into cognitive development and AI transparency.

22 Jan 2025

Transforming Robotics: Dataset Enhances 6D Pose Algorithms

Study introduces a robust RGB-D dataset for 6D pose estimation, enabling robots to perform industrial pick-and-place tasks with greater precision. The dataset's evaluation with cutting-edge models highlights its potential for advancing robotic automation.

16 Jan 2025