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CAD/CAM approaches have been used in the manufacturing industry for a long time, and their use in robotic systems is becoming more popular. One common element in these approaches is the use of geometric constraints to define relative object poses. Hence, approaches for solving these geometric constraints are critical to their performance. In this paper, we present an exact solver for geometric constraints...
In this paper, we propose a framework for prioritized constraint-based specification of robot tasks. This framework is integrated with a cognitive robotic system based on semantic models of processes, objects, and workcells. The target is to enable intuitive (re-)programming of robot tasks, in a way that is suitable for non-expert users typically found in SMEs. Using CAD semantics, robot tasks are...
In this paper, we introduce a novel robot programming paradigm. It focuses on reducing the required expertise in robotics to a level that allows shop floor workers to use robots in their application domain without the need of extensive training.
Human-robot interaction is an important component for robots operating in human environments and verbal interaction is in many cases the most intuitive and effective solution for humans. Managing dialogues between physical agents interacting in a physical environment brings additional challenges to virtual dialogue systems (eg. Siri or Google Now). More channels of information are available, as gaze...
Intuitive programming of industrial robots is especially important for small and medium-sized enterprises. We evaluated four different input modalities (touch, gesture, speech, 3D tracking device) regarding their preference, usability, and intuitiveness for robot programming.
In this paper, we propose a framework for intuitive task-based programming of robots using geometric inter-relational constraints. The intended applications of this framework are robot programming interfaces that use semantically rich task descriptions, allow intuitive (re-)programming, and are suitable for non-expert users typically found in SMEs. A key concept in this work is the use of CAD semantics...
Human activity recognition is crucial for intuitive cooperation between humans and robots. We present an approach for activity recognition for applications in the context of human-robot interaction in industrial settings. The approach is based on spatial and temporal features derived from skeletal data of human workers performing assembly tasks. These features were used to train a machine learning...
This paper deals with the concept of a collaborative human-robot workspace in production environments recapitulating and complementing the work of the author presented in [1]. Different aspects regarding collaboration are discussed and applied in an exemplary scenario. Modalities including visualizations and audio are used to inform the human worker about next assembly steps and the current status...
Today's industrial robots require expert knowledge and are not profitable for small and medium sized enterprises with their small lot sizes. It is our strong belief that more intuitive robot programming in an augmented reality robot work cell can dramatically simplify re-programming and leverage robotics technology in short production cycles. In this paper, we present a novel augmented reality system...
The presented work focuses on investigating the influence of different hand-over timing strategies on the fluency and efficiency of a human-robot team in an assembly task.
In this paper, we present a new vision-based multiple human tracking system. This novel 3D visual tracking system is capable of automatically identifying, labeling and tracking multiple humans in real-time even when they occlude each other. Furthermore, the multiple human tracker was implemented in a vision driven robot system for human robot interaction. The distributed system comprises of 4 subsystems:...
Major progress in robotics turns today's humanoid robots into ever safer, more robust, and more agile agents by the moment. However, it is still a long way until robots can safely operate in open environments. Especially in the area of service robotics, the need arises for robots to work flexibly in a human centered environment. One way towards this goal is to incorporate more and more of the mechanisms...
In this paper, we introduce an intrinsically parallel framework striving for increased flexibility in development of robotic, computer vision, and machine intelligence applications. The primary goal is to provide a sound and easy-to-use, but yet efficient base architecture for complex sensor-based robotic systems with focus on industrial scenarios. The framework combines promising ideas of recent...
Both Robots and Personal Computers established new markets about 30 years ago and were enabling factors in Automation and Information Technology. However, while you can see Personal Computers in almost every home nowadays, the domain of Robots in general still is mostly restricted to industrial automation. Due to the physical impact of robots, a safe design is essential, which most robots still lack...
Both Robots and Personal Computers established new markets about 30 years ago and were enabling factors in Automation and Information Technology. However, while you can see Personal Computers in almost every home nowadays, the domain of Robots in general still is mostly restricted to industrial automation. Due to the physical impact of robots, a safe design is essential, which most robots still lack...
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