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[HTML][HTML] Human–robot collaboration and machine learning: A systematic review of recent research
Technological progress increasingly envisions the use of robots interacting with people in
everyday life. Human–robot collaboration (HRC) is the approach that explores the …
everyday life. Human–robot collaboration (HRC) is the approach that explores the …
Cobot programming for collaborative industrial tasks: An overview
Collaborative robots (cobots) have been increasingly adopted in industries to facilitate
human–robot collaboration. Despite this, it is challenging to program cobots for collaborative …
human–robot collaboration. Despite this, it is challenging to program cobots for collaborative …
Outlook on human-centric manufacturing towards Industry 5.0
The recent shift to wellbeing, sustainability, and resilience under Industry 5.0 has prompted
formal discussions that manufacturing should be human-centric–placing the wellbeing of …
formal discussions that manufacturing should be human-centric–placing the wellbeing of …
Survey on human–robot collaboration in industrial settings: Safety, intuitive interfaces and applications
Easy-to-use collaborative robotics solutions, where human workers and robots share their
skills, are entering the market, thus becoming the new frontier in industrial robotics. They …
skills, are entering the market, thus becoming the new frontier in industrial robotics. They …
Symbiotic human-robot collaborative assembly
In human-robot collaborative assembly, robots are often required to dynamically change
their pre-planned tasks to collaborate with human operators in a shared workspace …
their pre-planned tasks to collaborate with human operators in a shared workspace …
Action recognition based on RGB and skeleton data sets: A survey
Action recognition is a major branch of computer vision research. As a widely used
technology, action recognition has been applied to human–computer interaction, intelligent …
technology, action recognition has been applied to human–computer interaction, intelligent …
Kernelized movement primitives
Imitation learning has been studied widely as a convenient way to transfer human skills to
robots. This learning approach is aimed at extracting relevant motion patterns from human …
robots. This learning approach is aimed at extracting relevant motion patterns from human …
Disassembly sequence planning using discrete Bees algorithm for human-robot collaboration in remanufacturing
Remanufacturing helps to improve the resource utilization rate and reduce the
manufacturing cost. Disassembly is a key step of remanufacturing and is always finished by …
manufacturing cost. Disassembly is a key step of remanufacturing and is always finished by …
Prodmp: A unified perspective on dynamic and probabilistic movement primitives
Movement Primitives (MPs) are a well-known concept to represent and generate modular
trajectories. MPs can be broadly categorized into two types:(a) dynamics-based approaches …
trajectories. MPs can be broadly categorized into two types:(a) dynamics-based approaches …
Transferable two-stream convolutional neural network for human action recognition
Abstract Human-Robot Collaboration (HRC), which enables a workspace where human and
robot can dynamically and safely collaborate for improved operational efficiency, has been …
robot can dynamically and safely collaborate for improved operational efficiency, has been …