[HTML][HTML] Robot learning towards smart robotic manufacturing: A review
Robotic equipment has been playing a central role since the proposal of smart
manufacturing. Since the beginning of the first integration of industrial robots into production …
manufacturing. Since the beginning of the first integration of industrial robots into production …
Surface electromyography and artificial intelligence for human activity recognition-A systematic review on methods, emerging trends applications, challenges, and …
Human activity recognition (HAR) has become increasingly popular in recent years due to its
potential to meet the growing needs of various industries. Electromyography (EMG) is …
potential to meet the growing needs of various industries. Electromyography (EMG) is …
Mutual physical state-aware object handover in full-contact collaborative human-robot construction work
Full-contact physical interactions inherent in typical construction workflow, such as material
handovers, have yet to be adequately resolved or adopted in Human–Robot Collaboration …
handovers, have yet to be adequately resolved or adopted in Human–Robot Collaboration …
Human-robot collaboration with commonsense reasoning in smart manufacturing contexts
Human-robot collaboration (HRC), where humans and robots work together to handle
specific tasks, requires designing robots that can effectively support human beings. Robots …
specific tasks, requires designing robots that can effectively support human beings. Robots …
An integrated hand-object dense pose estimation approach with explicit occlusion awareness for human-robot collaborative disassembly
Human-robot collaborative disassembly (HRCD) has gained much interest in the
disassembly tasks of end-of-life products, integrating both robot's high efficiency in repetitive …
disassembly tasks of end-of-life products, integrating both robot's high efficiency in repetitive …
Local observation based reactive temporal logic planning of human-robot systems
Human-robot collaboration plays an important role in intelligent manufacturing. However,
the main challenge is how the robot can make online reactive changes to the plan based on …
the main challenge is how the robot can make online reactive changes to the plan based on …
Naturalistic robot-to-human bimanual handover in complex environments through multi-sensor fusion
Robot-human object handover has been extensively studied in recent years for a wide
range of applications. However, it is still far from being as natural as human-human …
range of applications. However, it is still far from being as natural as human-human …
FedHIP: Federated learning for privacy-preserving human intention prediction in human-robot collaborative assembly tasks
Human-robot collaboration is a promising solution to relieve construction workers from
repetitive and physically demanding tasks, thus improving construction safety and …
repetitive and physically demanding tasks, thus improving construction safety and …
Human-Robot handover task intention recognition framework by fusing human digital twin and deep domain adaptation
Industry 5.0 is conceived to achieve the expected high level of smart manufacturing and the
more proactive and adaptive human-robot collaboration (HRC). In particular, human-robot …
more proactive and adaptive human-robot collaboration (HRC). In particular, human-robot …
Comparison of LSTM, Transformers, and MLP-mixer neural networks for gaze based human intention prediction
J Pettersson, P Falkman - Frontiers in Neurorobotics, 2023 - frontiersin.org
Collaborative robots have gained popularity in industries, providing flexibility and increased
productivity for complex tasks. However, their ability to interact with humans and adapt to …
productivity for complex tasks. However, their ability to interact with humans and adapt to …