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Path planning in unknown environments remains a challenging research problem in autonomous robotics. Although single-query path planning algorithms such as Rapidly-exploring Random Trees (RRT) and its variants have been ...

Introduction. Reliable and accurate state estimation plays a central role in mobile robotics, ensuring effective localization, navigation, and control in uncertain and dynamic environments. Traditional estimation methods...

Artificial vision systems pervade our daily lives as a foremost sensing apparatus in various digital technologies, from smartphones to autonomous cars and robotics. The broad range of applications for conventional vision...

Spatial computing and augmented reality are advancing rapidly, with the goal of seamlessly blending virtual and physical worlds. However, traditional depth-sensing systems are bulky and energy-intensive, limiting their u...

Mobile Edge Computing (MEC) brings computation close to end-users to support latency-sensitive applications, such as tele-manipulation and autonomous driving. While Network Function Virtualization (NFV) facilitates the d...

3-D depth sensing is essential for many applications ranging from consumer electronics to robotics. Passive depth sensing techniques based on a double-helix (DH) point-spread-function (PSF) feature high depth estimation ...

Today, visual recognition systems are still rarely employed in robotics applications. Perhaps one of the main reasons for this is the lack of demanding benchmarks that mimic such scenarios. In this paper, we take advanta...

We present a novel dataset captured from a VW station wagon for use in mobile robotics and autonomous driving research. In total, we recorded 6 hours of traffic scenarios at 10–100 Hz using a variety of sensor modaliti...

Subjects / keywords: autonomous medical devices and systems, autonomous vehicles, interactive intelligent systems, autonomous robotics and control, autonomous systems, artificial intelligence; Technology

Subjects / keywords: artificial intelligence, autonomous robotics, computational intelligence, computer vision, cybersecurity, machine learning; Language and Literature: Philology. Linguistics: Computational linguistics. Natural language pro...

Agile, dynamic, and safe motion planning in interactive environments is a key challenge for autonomous vehicles. Most research has focused on enhancing established planning algorithms, often aiming to improve optimality ...

Subjects / keywords: artificial intelligence, machine learning, intelligent robotics, unmanned systems, autonomous agent systems; Science: Mathematics: Instruments and machines: Electronic computers. Computer science; Technology: Electrical ...

Subjects / keywords: robotics, bio-inspired design, artificial intelligence, autonomous systems, biomimetic control, bionic materials; Technology: Electrical engineering. Electronics. Nuclear engineering; Science: Mathematics: Instruments an...

Subjects / keywords: robotics, remote sensing, vehicular technology, autonomous systems, intelligent systems; Technology: Motor vehicles. Aeronautics. Astronautics

Abstract Terrestrial remote sensing approaches, such as acoustic monitoring, deliver finely resolved and reliable biodiversity data. However, the scalability of surveys is often limited by the effort, time and cost neede...

Abstract The reflex arc is fundamental to the physiology of posture and robust locomotion. Mimicking biological reflexes in engineered systems has, therefore, high potential to improve robustness and learning performance...

ABSTRACT To enable autonomous operations in complex industrial environments, this paper proposes retrieval‐augmented generation with large language models for robotic operations (RAGLRO), a robotic framework specifical...