The utilization of machine vision and its associated algorithms improves the efficiency,
functionality, intelligence, and remote interactivity of harvesting robots in complex …

Abstract Purpose of Review The goal of this review is to evaluate the current status of multi-
robot systems in the context of search and rescue. This includes an investigation of their …

In this paper, we explore the potential of using a large language model (LLM) to understand
the driving environment in a human-like manner and analyze its ability to reason, interpret …

Existing learning-based autonomous driving (AD) systems face challenges in
comprehending high-level information, generalizing to rare events, and providing …

Social robots have become pervasive in the tourism and hospitality service environments.
The empirical understanding of the drivers of visitors' intentions to use robots in such …

Mobile microrobots, which can navigate, sense, and interact with their environment, could
potentially revolutionize biomedicine and environmental remediation. Many self-organizing …

The magnetic microrobots promise benefits in minimally invasive cell-based therapy.
However, they generally suffer from an inevitable compromise between their magnetic …

Magnetically actuated mobile microrobots can access distant, enclosed, and small spaces,
such as inside microfluidic channels and the human body, making them appealing for …

Medical robots have demonstrated the ability to manipulate percutaneous instruments into
soft tissue anatomy while working beyond the limits of human perception and dexterity …

Contemporary sensorimotor learning approaches typically start with an existing complex
agent (eg, a robotic arm), which they learn to control. In contrast, this paper investigates a …