With robots becoming increasingly ubiquitous, robotics education has become an integral subject in engineering curricula. The extensive prerequisites ranging from mechanics, electronics and computing make the initial ...
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With robots becoming increasingly ubiquitous, robotics education has become an integral subject in engineering curricula. The extensive prerequisites ranging from mechanics, electronics and computing make the initial learning curve of the subject unnecessarily steep compared with traditional learning approaches even for engineering students. This paper presents and investigates a pedagogical methodology for teaching robotics via Experiential Active Learning with Immersive Technology (REALITy). The methodology includes a learning paradigm that assimilates the syllabus with experiential hands-on operation of a robot arm for task-driven lab activities facilitated by teaching method that is augmented with virtual interface and mixed reality devices. The immersive teaching platform is assessed through a user test based on a representative lab activity on robot programming for task automation using three modes of interaction for learning, namely, physical, virtual and mixed reality interaction. The mixed reality interaction mode demonstrated significant easing of the learning curve compared to pure physical interaction with the robot hardware and was associated with a lower task load index according to learners' feedback. By exploring this pedagogical framework, we hope to enhance robotics education via experiential active learning by leveraging late-breaking immersive technology.
Online trajectory planning enables robot manipulators to react quickly to changing environments or *** robot trajectory planners exist for known environments but are often too slow for online computations. Current met...
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In this study, we aim to enhance the productivity and utilization of robots in construction sites by developing an optimal route planning system for autonomous mobile robots. The system generates lightweight graph-bas...
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Optical navigation is the mainstream technology used in intraoperative navigation for the orthopedic surgical robot. The information loss problem in optical navigation system (OTS) seriously affects the surgical proce...
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robots have become indispensable in many areas. In production technology in particular, they are a valuable component. However, they reach their limits when used in small businesses. Their use is often uneconomical, e...
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ISBN:
(纸本)9798350311075
robots have become indispensable in many areas. In production technology in particular, they are a valuable component. However, they reach their limits when used in small businesses. Their use is often uneconomical, especially for assembly tasks in small batches. The engineering effort is then too high in relation to the benefit. This paper presents the concept of a task-oriented robot programming system. It allows the easy creation and maintenance of robot applications for the implementation of assembly tasks. The possibilities of humanrobot collaboration are an integral part of the system and extend the application portfolio. The paper explains the resulting work steps for the creation and operation of the robot application. Finally, the validation of the presented programming approach is discussed.
Assistive robotic manipulators are becoming increasingly important for people with disabilities. Teleoperating the manipulator in mundane tasks is part of their daily lives. Instead of steering the robot through all a...
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ISBN:
(纸本)9798350335170
Assistive robotic manipulators are becoming increasingly important for people with disabilities. Teleoperating the manipulator in mundane tasks is part of their daily lives. Instead of steering the robot through all actions, applying self-recorded motion macros could greatly facilitate repetitive tasks. Dynamic Movement Primitives (DMP) are a powerful method for skill learning via teleoperation. For this use case, however, they need simple heuristics to specify where to start, stop, and parameterize a skill without a background in computer science and academic sensor setups for autonomous perception. To achieve this goal, this paper provides the concept of local, global, and hybrid skills that form a modular basis for composing single-handed tasks of daily living. These skills are specified implicitly and can easily be programmed by users themselves, requiring only their basic robotic manipulator. The paper contributes all details for robot-agnostic implementations. Experiments validate the developed methods for exemplary tasks, such as scratching an itchy spot, sorting objects on a desk, and feeding a piggy bank with coins. The paper is accompanied by an open-source implementation at https://***/fziforschungszentrum-informatik/ArNe
programmingrobots presents significant challenges, including high costs, extensive time commitments and steep learning curves, particularly for individuals lacking technical background in engineering. These barriers ...
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Recent years have witnessed an increasing emphasis on integrating computational thinking into school curriculums. This study deals with suggesting a course model including data collection tools for evaluating teachers...
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Recent years have witnessed an increasing emphasis on integrating computational thinking into school curriculums. This study deals with suggesting a course model including data collection tools for evaluating teachers' pedagogical content knowledge in teaching computational thinking via teaching robot programming. Taking the advantages of virtual educational robotics, the study addressed some steps to be used during the teacher training sessions. The results provide implications for educators who desire to provide training programs for teachers to prepare them to teach robotics. Using the suggested model, the instructional activities and the assessment tools will be structured for practitioners' use.
In this study, we introduce an algorithm called Dictionary-Labeled A∗ (DL-A∗), which addresses the critical problem of path-and-posture planning for mobile robots with turning radius constraints. DL-A∗ utilizes a dict...
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An algorithm is presented that intelligently merges multiple 3D point clouds used for localization based on when the point cloud was recorded to create an updated map that is more similar to the current environment. T...
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