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Cooperative Circumnavigation for Multiple Unmanned Surface Vehicles Without External Localization

arXiv:2606.04518v1 Announce Type: new Abstract: This paper proposes a cooperative target circumnavigation framework for multiple unmanned surface vehicles (USVs) operating without external localization. The objective is to maintain a uniform circular formation of a specified radius around a target using only limited onboard sensing. The framework adopts a heterogeneous perception strategy that distinguishes between the asymmetric sensing relationships with the target and among the USVs.

arXiv CS 6d ago

Quantum Machine Learning for Cyber-Physical Anomaly Detection in Unmanned Aerial Vehicles: A Leakage-Free Evaluation with Proxy-Audited Feature Sets

arXiv:2605.19233v2 Announce Type: replace Abstract: Unmanned aerial vehicles (UAVs) are cyber-physical systems whose attack surface spans networked avionics and on-board sensor fusion: a compromised GPS or battery module can mimic a benign mission segment and evade naive anomaly detectors. We present a leakage-free evaluation of quantum machine learning for UAV anomaly detection on the multi-sensor TLM:UAV benchmark. Three contributions support the study.

arXiv CS 9d ago

Tether-Aware Dynamic Collision Avoidance for USV-HROV Systems

arXiv:2606.01112v1 Announce Type: new Abstract: Heterogeneous marine robotic systems composed of an unmanned surface vehicle (USV) and a hybrid remotely operated vehicle (HROV) have shown great potential for subsea cable inspection. In such missions, the USV tracks the HROV at the surface while supplying power and communication through an umbilical tether.

arXiv CS 8d ago

Trust, Geometry, and Rules: A Credibility-Aware Reinforcement Learning Framework for Safe USV Navigation under Uncertainty

Announce Type: replace Abstract: Autonomous navigation of Unmanned Surface Vehicles (USVs) that is safe and compliant with the International Regulations for Preventing Collisions at Sea (COLREGs) remains a formidable challenge in dynamic maritime environments, particularly when perception systems exhibit miscalibrated uncertainty. Existing Reinforcement Learning (RL)-based methods often falter because state-estimation errors induce unreliable belief states that mislead the value function,...

arXiv CS 2d ago

From AI robot baristas to military drones: The weird and wonderful tech at Computex 2026

Euronews Next spotlights the most innovative and intriguing tech at the conference in Taiwan. With advances in robotics, artificial intelligence, an array of laptops and drones, the Computex technology conference in Taiwan went far beyond Nvidia's headline-making announcements to showcase the technologies that could have a wide-ranging impact our daily lives. Euronews Next attended the conference and scoured the show floors to find the weird and wonderful as well as useful technological...

Euronews 6d ago

From Agni 5 to Akash & hypersonics: Decoding India's homegrown arsenal & defence shield

The ongoing conflicts in Ukraine, on the borders of Israel and in the Persian Gulf have underscored the importance of indigenous defence technologies and a domestic industry to back innovation. India has been steadily working to become self-reliant in defence manufacturing. The country is now on a razor’s edge—designing, developing, and deploying homegrown defence technologies.

Times of India 9d ago