Tapia Lab is focused on the research of complex robotic systems including molecules such as proteins.
Our approach has been to apply adaptive learning techniques in order to solve computationally intensive planning problems.
This work has applications in both robotics and computational biology.
First annual End of Summer AMPRG Lunch (Summer 2011).
We have developed a molecular docking game
that integrates haptic user feedback based on molecular energetics and motion planning to combine the results of multiple users into binding trajectories.
This project explores interfaces to involve humans during autonomous navigation. These concepts are tested in an Android game, Busy Beeway
Prof. Lydia Tapia, AMPRG volunteers, Stalin Rios and Stephen Harding, and Prof. Rafael Fierro and ECE students demonstrate UNM robots at the 2012 New Mexico State Fair
In this project, we simulate the kinesin stepping mechanism
by combining robotics techniques with energy calculations of 3D geometric models of the kinesin head and microtubule.
We have developed
several state of the art algorithms
that identify collision-free paths in environments with hundreds of
dynamic obstacles. Some variants are real-time capable and deal with uncertainty in the obstacle position.
Our converted conference room to make lab space, Summer 2011.
Second annual End of Summer AMPRG Lunch (Summer 2012).