Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 42 for “"human-robot collaboration"”.
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Flexible schedule optimization for human-robot collaboration
Robots are increasingly entering domains typically thought of as human-only. This convergence of human and robotic agents leads to a need for new technology to enable safe and efficient collaboration. The goal of this thesis is to develop a task allocation and scheduling algorithm for teams of …
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Bayesian Relevance for Enhanced Human-Robot Collaboration
… a difficult yet critical component for seamless Human Robot Collaboration (HRC). As robots become increasingly involved in helping humans with a variety of tasks, ranging from part assembly to healthcare and more, it is crucial to model and understand human intention. Many works still do not take …
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Adaptive Communication Interfaces for Human-Robot Collaboration
Robots can use a collection of auditory, visual, or haptic interfaces to convey information to human collaborators. The way these interfaces select signals typically depends on the task that the human is trying to complete: for instance, a haptic wristband may vibrate when the human is moving …
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Domain-Independent Mode Estimation for Human-Robot Collaboration
To collaborate safely and intelligently with humans, robots must infer high-level semantic sates, such as intentions or interaction modes, from uncertain sensor input. While dynamic, probabilistic mode estimation is commonly used in fault diagnosis, this thesis extends the problem to activity …
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Communication-Driven Robot Learning for Human-Robot Collaboration
The growing presence of modern learning robots necessitates a fundamental shift in design, as these robots must learn skills from human inputs. Two main components close the loop in a human-robot interaction: learning and communication. Learning derives robot behaviors from human inputs, and …
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EEG-based brain-computer interface for human-robot collaboration
… expectations for the next-generation industrial robots is to work collaboratively with humans. Collaborative robots must be able to communicate with human collaborators intelligently and seamlessly. However, industrial robots in prevalence are not good at understanding human intentions and …
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Real-Time Motion Prediction for Efficient Human-Robot Collaboration
Human motion prediction is an essential step for efficient and safe human-robot collaboration. Current methods either purely rely on representing the human joints in some form of neural network-based architecture or use regression models offline to fit hyper-parameters in the hope of capturing a …
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Robotic Contextual Awareness for Human-Robot Collaboration and Environmental Understanding
The transition of autonomous mobile robots from controlled industrial settings to dynamic, human-centric environments, such as manufacturing, logistics, and healthcare, has made their safe and autonomous operation a critical area of research. These sophisticated machines must be capable of …
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Advancing complexity models for human-robot collaboration in assembly processes
L'abstract è presente nell'allegato / the abstract is in the attachment
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Toward an Argumentation-based Dialogue framework for Human-Robot Collaboration
<p>Successful human-robot collaboration with a common goal requires peer interaction in which humans and robots cooperate and complement each other's expertise. Formal human-robot dialogue in which there is peer interaction is still in its infancy, though. My research recognizes three aspects of …
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Assembly Video Understanding for Human-Robot Collaboration: Methods and Applications
The human-robot relationship is evolving from coexistence and cooperation to collaboration, compassion, and coevolution. In this process, robots are transitioning from machines focused solely on production tasks to reliable partners that prioritise human needs and well-being. This shift requires …
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Cognitive Human Activity and Plan Recognition for Human-Robot Collaboration
With the growth of the robotics field, it is expected that robots will increasingly become part of our everyday lives. Consequently, there is an emerging need for humans and robots to work together. Human-robot collaboration has become an important topic in various domains, such as home assistance …
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Human-Aware Task Planning and Execution for Safe Human-Robot Collaboration
L'abstract è presente nell'allegato / the abstract is in the attachment
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Robotics for Waste Recycling: Vision-based algorithms for safe Human-Robot collaboration
L'abstract è presente nell'allegato / the abstract is in the attachment
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Robots learn to behave: improving human-robot collaboration in flexible manufacturing applications
L'abstract è presente nell'allegato / the abstract is in the attachment
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Developing safe and efficient robotic assistants for close-proximity human-robot collaboration
As the field of robotics continues to advance and the capabilities of robots continue to expand, there is a strong incentive to introduce robots into traditionally human-only domains. By harnessing the complementary strengths of humans and robots, the human-robot team has the potential to achieve …
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Data-Efficient Learning Frameworks for Adaptive Intelligent Robots in Human-Robot Collaboration Scenarios
L'abstract è presente nell'allegato / the abstract is in the attachment
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A robotic hand that utilizes ergonomic evaluation as feedback to improve human robot collaboration in soldering applications
… However, these tools do not measure up to their human counterparts. They cannot adjust the position or orientation of the workpiece to suit a particular task which can cause workers to maintain unhealthy postures that are detrimental to their long-term health. This thesis addresses this …
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thesis in the field of Mechanical Engineering: Relevance for Human-Robot Collaboration: Definitions, Systems, Algorithms, and Applications
Human-Robot Collaboration (HRC) combines the strengths of human and robotic capabilities to accomplish complex tasks, yielding significant impacts in various domains. To enable seamless interaction in dynamic and unpredictable environments, robots are required to efficiently and accurately perceive …
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