Abstract: The integration of Large Multimodal Models (LMMs) into robotics enables unprecedented capabilities in understanding complex commands and interacting with unstructured environments. However, ...

Abstract: Recent advances in research have demonstrated that Vision-Language Models (VLMs) are a promising technology for robot task planning. This paper presents a novel approach that leverages ...

Abstract: Machine Learning (ML) is a relatively recent development that has had a profound impact on Robotics, Computer Vision (CV) and Natural Language Processing (NLP) by allowing automation of ...

Featuring unlimited object recognition, a 140°F self-cleaning track mopping system, and a reimagined premium design for smarter, more efficient home cleaning. NEW YORK, April 13, 2026 /PRNewswire/ -- ...

Featuring unlimited object recognition, a 140°F self-cleaning track mopping system, and a reimagined premium design for smarter, more efficient home cleaning. First unveiled at CES 2026, the Narwal ...

Abstract: This paper addresses the critical task of grounding clamp removal during live substation maintenance by developing an integrated perception–navigation–control framework for autonomous power ...

Abstract: Tools based on the use of Large Language Models (LLMs) have improved the computer programming teaching process, automated feedback processes, facilitated program repair, and enabled ...

Abstract: Service robots in human-centered environments such as hospitals, office buildings, and long-term care homes need to navigate while adhering to social norms to ensure the safety and ...

Abstract: This paper introduces a robot active task cognition framework for Situation-Aware Task Planning (SATP), leveraging visual scene understanding to generate action sequences. By integrating ...

Abstract: This study provides a systematic review of 3 years of empirical research on the use of Large Language Models (LLMs) in programming learning. Following the PRISMA methodology, we conducted a ...