Results 141 to 150 of about 10,320,823 (245)
Fundamentals of proactive human–robot collaboration
HRC plays a crucial role in smart manufacturing, addressing the demanding requirements of human-centricity, sustainability, and resilience. However, current HRC development tends to adopt either a human- or robot-dominant approach, wherein human and ...
Zheng, Pai,, Wang, Lihui,, Li, Shufei,
core +1 more source
AI-Powered Obstacle Detection for Safer Human-Machine Collaboration
This article deals with ensuring and increasing the safety of mobile robotic systems in human-machine collaboration. The goal of the research was to design and implement an artificial intelligence application that recognizes obstacles, including humans ...
Krupáš Maros +3 more
doaj +1 more source
Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar +8 more
wiley +1 more source
Liquid Crystalline Elastomers in Soft Robotics: Assessing Promise and Limitations
Liquid crystalline elastomers (LCEs) are programmable soft materials that undergo large, anisotropic deformation in response to external stimuli. Their molecular alignment encodes directional actuation in a monolithic structure, making them long‐standing candidates for soft robotic systems.
Justin M. Speregen, Timothy J. White
wiley +1 more source
Evolution of human–robot relationships
Since the integration of industrial robots into extensive production lines, there has been a significant emphasis among researchers and engineers on the development of human–robot relationships.
Zheng, Pai,, Wang, Lihui,, Li, Shufei,
core +1 more source
An enhanced universal gripper combining rigid mechanics with self‐adaptable fingers is presented for industrial automation. The novel six‐bar linkage with integrated compliant pad eliminates mechanical interference while enabling passive shape adaptation.
Muhammad Usman Khalid +7 more
wiley +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
Hybrid Continuum Robot Designs and Architectures for Healthcare Applications
Hybrid continuum robots represent an emerging class of flexible manipulators that blend materials, structures, and actuation concepts from the established fields of soft and continuum robotics. This review introduces an accessible framework to distinguish key hybridization approaches, surveys current designs aimed at complex clinical applications, and ...
Burak Ozdemir +4 more
wiley +1 more source
Designing for meaningful human control in military human-machine teams
This chapter proposes methods for analysis, design and evaluation of Meaningful Human Control (MHC) for defence technologies from the perspective of military human-machine teaming (HMT). Our approach is based on three principles.
Bosch, K. van den +3 more
core
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

