Robotic shepherding and multi-agent systems represent a frontier in the field of autonomous control, where bio‐inspired methodologies and advanced algorithms converge to direct groups of agents in a ...

Today, multi-agent systems (MAS) have emerged as transformative technologies, driving innovation and efficiency across various industries. Comprising multiple autonomous agents working collaboratively ...

The Lab has a wide variety of robots, field control systems, testbeds, instruments, and support equipment, all of which are routinely used in order to perform field ...

AGNTCY addresses fundamental infrastructure gaps that have prevented AI agents from working together at enterprise scale. The framework provides core capabilities that mirror traditional networking ...

How event-driven design can overcome the challenges of coordinating multiple AI agents to create scalable and efficient reasoning systems. While large language models are useful for chatbots, Q&A ...

Mbodi users prompt the software with natural language, and its cluster of AI agents works to make training easier.

Over the past decade, deep learning has transformed how artificial intelligence (AI) agents perceive and act in digital ...

Our exploratory project aims to develop a Multi-Sensor Emotionally Intelligent, Social robotic agent that may enable two-fold assistance: proactive determination of a caregiver’s affective state ...