Tech
New AI System Helps “Kidnapped” Robots Find Their Way in Changing Environments
Researchers in Spain have developed an AI system that allows robots to recover their position even after being moved, powered off, or displaced, offering a solution to the long-standing “kidnapped robot” problem. The system, designed at Miguel Hernández University of Elche, could enable autonomous machines to navigate safely in environments that change over time.
Autonomous robots, used in service operations, logistics, infrastructure inspection, environmental monitoring, and self-driving vehicles, often rely on satellite navigation systems such as GPS. These signals can be unreliable near tall buildings or completely unavailable indoors, making precise localisation a persistent challenge.
The new approach, called MCL-DLF (Monte Carlo Localisation – Deep Local Feature), uses 3D LiDAR technology to scan surroundings with laser pulses, creating a detailed map-like representation of the environment. By analysing both large structures and small distinguishing details, the system helps robots determine their exact location.
“This is similar to how people first recognise a general area and then rely on small distinguishing details to determine their precise location,” said Míriam Máximo, lead author of the study and a researcher at Miguel Hernández University of Elche.
MCL-DLF uses AI to identify which environmental features are most useful for localisation. The system maintains multiple possible location estimates simultaneously and continuously updates them as new sensor data becomes available. This allows robots to maintain reliable positioning even when environments look similar or have changed, such as when vegetation shifts or lighting conditions vary.
The research team tested the system over several months on the university campus under diverse conditions, including different seasons, lighting, and natural changes in vegetation. Results showed that MCL-DLF provided stronger positioning accuracy and more consistent performance compared with conventional localisation methods.
By enabling robots to navigate without constant reliance on external infrastructure, the system could increase operational independence in real-world environments, where conditions rarely remain static. Reliable localisation is particularly important for tasks where safety and precision are critical, such as autonomous deliveries, environmental monitoring, and industrial inspections.
The development of MCL-DLF represents a significant advance in robotics, providing a practical solution to the kidnapped robot problem. Researchers say the technology could help service and industrial robots operate more effectively in complex, dynamic settings, paving the way for wider adoption of autonomous systems in both indoor and outdoor environments.
With AI-driven localisation, robots may soon be able to recover from displacements quickly and continue tasks without human intervention, making them more resilient and adaptable in everyday operations.
Tech
Global Rights Groups Call for AI Companies to Be Held Responsible for Children’s Safety
Tech
Study Says EU Regulations Are Slowing Rollout of Advanced AI Models
A new study by Governance.AI has found that European Union regulations are delaying the rollout of advanced artificial intelligence models, with technology companies increasingly pointing to the bloc’s regulatory framework as a key obstacle to launching new AI products in Europe.
The report examined 375 large language models (LLMs) released between June 2018 and May 2026, comparing their availability across the United States, the European Union and the United Kingdom. According to the findings, at least 11 percent of advanced AI model releases were either delayed or never launched in the EU compared with the United States. In the UK, the figure stood at 7 percent.
Researchers said they identified 68 cases in which AI models experienced delays or were withheld from specific markets. Regulatory factors were cited as the primary reason in 56 of those cases, making them the most common cause of restricted availability.
The study reviewed releases from major AI developers, including Meta, Google, OpenAI and Anthropic. Meta recorded the highest proportion of delayed or unavailable releases, with 26 percent of its AI models delayed or withheld in the EU and 15 percent in the UK. Anthropic’s Claude 3 Opus was highlighted as one example, with its web application arriving in the EU 71 days later than in the United States.
According to the report, data protection rules have emerged as the biggest regulatory hurdle, particularly for AI systems capable of processing images, audio and real-time video rather than text alone.
The researchers argued that uncertainty surrounding the application of the General Data Protection Regulation (GDPR) to AI model training and deployment has created additional challenges for developers. They also said enforcement of data protection rules has generally been stricter within the EU than in the UK, despite both jurisdictions sharing similar legal foundations following the adoption of the GDPR before Britain’s exit from the bloc.
The report noted that the full impact of newer legislation, including the Digital Markets Act, which began taking effect in 2023, and the Artificial Intelligence Act, adopted in 2024, has yet to be fully reflected in the data.
At the same time, the European Union is reviewing proposals aimed at making data rules more practical for AI development through its Digital Omnibus initiative. Lawmakers are also considering changes to copyright legislation and the AI Act’s copyright provisions to strengthen protections for creators, measures that researchers say could affect future AI model availability if implemented too strictly.
John Lidiard, a UK AI policy researcher and one of the report’s authors, said policymakers should consider the impact that regulatory barriers can have on businesses and consumers seeking access to the latest AI technologies. He said balancing innovation with effective oversight would remain a key challenge as governments continue to develop AI regulations.
Tech
French Startups Face Political Uncertainty as AI Reshapes Innovation Landscape
-
Entertainment2 years agoMeta Acquires Tilda Swinton VR Doc ‘Impulse: Playing With Reality’
-
Sports2 years agoChina’s Historic Olympic Victory Sparks National Pride Amid Controversy
-
Business2 years agoSaudi Arabia’s Model for Sustainable Aviation Practices
-
Business2 years agoRecent Developments in Small Business Taxes
-
Home Improvement2 years agoEffective Drain Cleaning: A Key to a Healthy Plumbing System
-
Politics2 years agoWho was Ebrahim Raisi and his status in Iranian Politics?
-
Sports2 years agoKeely Hodgkinson Wins Britain’s First Athletics Gold at Paris Olympics in 800m
-
Business2 years agoCarrectly: Revolutionizing Car Care in Chicago
