Results 71 to 80 of about 5,444,146 (281)
The proliferation of Resident Space Objects (RSOs), including satellites, rocket bodies, and debris, poses escalating challenges for Space Situational Awareness (SSA). Optical light curves capture temporal brightness variations influenced by factors such
Minyoung Hwang +4 more
doaj +1 more source
Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki +2 more
wiley +1 more source
Knowledge-Intensive Fusion for Situational Awareness: Requirements for Knowledge-Filtered Awareness
This report aims to outline the requirements for knowledge-filtered awareness in the context of the DIF DTC ‘Knowledge-Based Information Fusion for Improved Situational Awareness’ project.
Smart, Paul R.
core +1 more source
LLM‐Integrated Human–Robot Interaction System for Microrobots
This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley +1 more source
Situational Awareness: a Cornerstone of Operational Excellence in Space
Operating in space is, at best, a risky business. Given that it is fraught with peril, the goal of operational excellence is not just a nice-to-have objective; it becomes a mandatory, albeit unwritten, requirement.
Larry W. Bryant
doaj
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
Deep Learning Methods for Space Situational Awareness in Mega-Constellations Satellite-Based Internet of Things Networks. [PDF]
Massimi F, Ferrara P, Benedetto F.
europepmc +1 more source
Autonomous field robots equipped with ISFET‐based sensors enable rapid, spatially resolved soil nutrient analysis directly in the field. An automated system based on the BoniRob platform is presented for standardized on‐site extraction and measurement of key macronutrients and soil pH.
Vadim Riedel +3 more
wiley +1 more source
Orbital Debris Mitigation in Support of Space Situational Awareness and Space Traffic Management [PDF]
Outline: The orbital debris (OD) problem: The environment; Long-term population growth; Risk to space missions. OD mitigation, space situational awareness (SSA), andvspace traffic management (STM).
Liou, J.-C.
core
Push the Limits: Human‐Like Multimodal Extreme Embodied Intelligence for Autonomous Racing
Autonomous racing tests embodied intelligence under extreme control limits of speed, actuation, and decision‐making. Inspired by human multimodality, we present Apex, an embodied agent deployed on a super‐formula racing car at Yas Marina. Integrating physics‐informed perception, multimodal learning, and tasking, Apex cuts lap times by 15% and achieves ...
Yanxin Zhou +13 more
wiley +1 more source

