Autonomous vehicles (AV) are expected to improve, reshape, and revolutionize the future of
ground transportation. It is anticipated that ordinary vehicles will one day be replaced with …

Autonomous mobile robots are becoming more prominent in recent time because of their
relevance and applications to the world today. Their ability to navigate in an environment …

The ever-increasing complexity of robot applications induces the need for methods to
approach problems with no (viable) analytical solution. Deep learning (DL) provides a set of …

This paper discusses a digital twin-based approach for designing and redesigning flexible
assembly systems. The digital twin allows modeling the parameters of the production system …

Abstract Mobile Robots (MRs) and their applications are undergoing massive development,
requiring a diversity of autonomous or self-directed robots to fulfill numerous objectives and …

Multi-modal data fusion has gained popularity due to its diverse applications, leading to an
increased demand for external sensor calibration. Despite several proven calibration …

There has been an increasing interest in multi-disciplinary research on multisensor attitude
estimation technology driven by its versatility and diverse areas of application, such as …

近年来, 机器人技术的研究与应用在全球范围内得到了各发达国家的空前重视,
从美国的“国家机器人计划[1]”, 欧盟的“SPARC 机器人研发计划[2]”, 到日本的“机器人新战略[3]” …

In mobile robot localization with multiple sensors, myriad problems arise as a result of
inadequacies associated with each of the individual sensors. In such cases, methodologies …

This paper presents a robotic behavior planning method under uncertainty based on biology-
inspired episodic memory. Adaptive behavior planning, prediction and reasoning are …