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Tony Pipe's Outputs (13)

Systematic and realistic testing in simulation of control code for robots in collaborative human-robot interactions (2016)
Presentation / Conference Contribution

© Springer International Publishing Switzerland 2016. Industries such as flexible manufacturing and home care will be transformed by the presence of robotic assistants. Assurance of safety and functional soundness for these robotic systems will requi... Read More about Systematic and realistic testing in simulation of control code for robots in collaborative human-robot interactions.

Coverage-driven verification — An approach to verify code for robots that directly interact with humans (2015)
Presentation / Conference Contribution

© Springer International Publishing Switzerland 2015. Collaborative robots could transform several industries, such as manufacturing and healthcare, but they present a significant challenge to verification. The complex nature of their working environ... Read More about Coverage-driven verification — An approach to verify code for robots that directly interact with humans.

Text line aggregation (2014)
Presentation / Conference Contribution

We present a new approach to text line aggregation that can work as both a line formation stage for a myriad of text segmentation methods (over all orientations) and as an extra level of filtering to remove false text candidates. The proposed method... Read More about Text line aggregation.

Perception of own and robot engagement in human-robot interactions and their dependence on robotics knowledge (2013)
Presentation / Conference Contribution

Communication between socially assistive robots and humans might be facilitated by intuitively understandable mechanisms. To investigate the effects of some key nonverbal gestures on a human's own engagement and robot engagement experienced by humans... Read More about Perception of own and robot engagement in human-robot interactions and their dependence on robotics knowledge.

Implementing spiking neural networks for real-time signal-processing and control applications: A model-validated FPGA approach (2007)
Journal Article

In this paper, we present two versions of a hardware processing architecture for modeling large networks of leaky-integrate-and-fire (LIF) neurons; the second version provides performance enhancing features relative to the first. Both versions of the... Read More about Implementing spiking neural networks for real-time signal-processing and control applications: A model-validated FPGA approach.