Results 291 to 300 of about 185,920 (312)
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Action monitoring in cognitive robots
2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014Cognitive robots need to detect execution failures in runtime to prevent potential damages to their environments or objects in their interest. For this reason, robots monitor the execution to detect any inconsistencies. In this paper, we propose a hybrid monitoring system that processes different sensory data from different sources by using both model ...
Melis Kapotoglu +3 more
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Physics in Technology, 1980
Report on 10th international symposium on industrial robots, 5th conference of industrial robot technology and 4th SC robot automation exhibition, 5-7 March 1980 in Milan, Italy.
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Report on 10th international symposium on industrial robots, 5th conference of industrial robot technology and 4th SC robot automation exhibition, 5-7 March 1980 in Milan, Italy.
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Actions and Imagined Actions in Cognitive Robots
2010Natural/Artificial systems that are capable of utilizing thoughts at the service of their actions are gifted with the profound opportunity to mentally manipulate the causal structure of their physical interactions with the environment. A cognitive robot can in this way virtually reason about how an unstructured world should “change,” such that it ...
Vishwanathan Mohan +3 more
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Grounding Neural Robot Language in Action
2005In this paper we describe two models for neural grounding of robotic language processing in actions. These models are inspired by concepts of the mirror neuron system in order to produce learning by imitation by combining high-level vision, language and motor command inputs.
WERMTER S +4 more
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Robot Action Planning by Commonsense Knowledge in Human-Robot Collaborative Tasks
2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS), 2020Robotics and artificial intelligence (AI) span the broad realm of mechatronics in general. Humans and robots can collaborate with each other to enhance various tasks, e.g. in the vehicle industry. Facets of AI such as commonsense knowledge can play a significant role here. In this paper, we propose an approach for human-robot collaboration such that it
Christopher J. Conti +2 more
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Technology in Action: Robotics, Volume 1
2020Unmanned (UAVs) and remotely operated vehicles (ROVs) have been around for a long time and have served varied and important purposes, with technical improvements in both electronics and materials contributing to their increased usefulness across many industries.
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Legible action selection in human-robot collaboration
2017 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), 2017Humans are error-prone in the presence of multiple similar tasks. While Human-Robot Collaboration (HRC) brings the advantage of combining the superiority of both humans and robots in their respective talents, it also requires the robot to communicate the task goal clearly to the human collaborator.
Huaijiang Zhu +2 more
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Actions & Imagined Actions in Cognitive Robots
2011Natural/Artificial systems that are capable of utilizing thoughts at the service of their actions are gifted with the profound opportunity to mentally manipulate the causal structure of their physical interactions with the environment. A cognitive robot can in this way virtually reason about how an unstructured world should “change,” such that it ...
Vishu Mohan +3 more
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Robot action planning by online optimization in human–robot collaborative tasks
International Journal of Intelligent Robotics and Applications, 2018Collaborative robots are widely used in strict and complex hybrid assembly tasks in the context of intelligent manufacturing. However, the task efficiency and task cost evaluation, which are very significant in the robot action planning to ensure and enhance the task quality in the human–robot collaboration process, are rarely studied in previous works.
Weitian Wang +3 more
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Applications of Action Languages in Cognitive Robotics
2012We summarize some applications of action languages in robotics, focusing on the following three challenges: 1) bridging the gap between low-level continuous geometric reasoning and high-level discrete causal reasoning; 2) embedding background/commonsense knowledge in high-level reasoning; 3) planning/prediction with complex (temporal) goals/constraints.
Erdem, Esra, Patoğlu, Volkan
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