2019
17/Jul
My Blog Posts
2019
17/Jul
Adaptable Pouring: Teaching Robots Not to Spill using Fast but Approximate Fluid Simulation. Conference on Robot Learning (CoRL), 2017. [Slides][Publisher’s link] Humans manipulate fluids intuitively using intuitive approximations of the underlying physical model. In this paper, we explore a general methodology that robots may use to develop and improve strategies for overcoming manipulation tasks associated with […]
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2016
17/Jul
Estimation fluid viscosity using a stirring motion on a general purpose robot. MSc Thesis, 2016. In the physical world every object has different affordances or ways in which we can interact with them. For example, a person can either prod, stir, shake a liquid. This results in interesting information reflecting the physical properties of that […]
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2015
17/Jul
Simulacion y Evaluacion de Redes de Interconexion Nanofotonicas sobre Silicio para Chips Multiprocesadores. Colciencias, 2012 [Article][Report]. Las redes de interconexion electronicas, tienen un impacto directo en la limitacion de potencia, ancho de banda y latencia de los chips multiprocesadores (CMPs) actuales. Estas limitaciones sumadas a la inhabilidad de escalar eficientemente a cientos de nucleos, la […]
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2014
16/Sep
Observatorio de Movilidad Vial – OMV Platform for studying traffic variables measured via different simulations on the road network of the city of Pereira. The system takes into account real-time status of traffic lights in field using NTCIP, enabling the authorities to model various scenarios that may occur within the city road network, develop new […]
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To Stir or Not to Stir: Online Estimation of Liquid Properties for Pouring Actions.NeurIPS Workshop on Modeling the Physical World: Perception, Learning, and Control, 2018. [Slides][Publisher’s link][arXiv link] Our brains are able to exploit coarse physical models of fluids to solve everyday manipulation tasks. There has been considerable interest in developing such a capability in […]
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