For complex robotic tasks (manipulation, locomotion, haptics, ...), the lack of knowledge of precise interaction models, the difficulties to precisely measure the task associated ...
Michel Lauria, Marc-Antoine Legault, Marc-Andr&eac...
—Since machine learning has become a tool to make more efficient design of sophisticated systems, we present in this paper a novel methodology to create powerful neural network ...
—Aggregate scheduling is one of the most promising solutions to the issue of scalability in networks, like DiffServ networks and high speed switches, where hard QoS guarantees ar...
— Developers and end-users have to interface robotic systems for control and feedback. Such systems are typically co-engineered with their graphical user interfaces. In the past,...
Significant improvement to visual quality for real-time 3D graphics requires modeling of complex illumination effects like soft-shadows, reflections, and diffuse lighting intera...
Venkatraman Govindaraju, Peter Djeu, Karthikeyan S...