no code implementations • 3 Feb 2022 • Jeffrey Delmerico, Roi Poranne, Federica Bogo, Helen Oleynikova, Eric Vollenweider, Stelian Coros, Juan Nieto, Marc Pollefeys
Spatial computing -- the ability of devices to be aware of their surroundings and to represent this digitally -- offers novel capabilities in human-robot interaction.
no code implementations • 19 Oct 2020 • Alexander Millane, Helen Oleynikova, Christian Lanegger, Jeff Delmerico, Juan Nieto, Roland Siegwart, Marc Pollefeys, Cesar Cadena
Localization of a robotic system within a previously mapped environment is important for reducing estimation drift and for reusing previously built maps.
Robotics
2 code implementations • 12 Mar 2018 • Helen Oleynikova, Zachary Taylor, Roland Siegwart, Juan Nieto
Micro-Aerial Vehicles (MAVs) have the advantage of moving freely in 3D space.
Robotics
1 code implementation • 19 Oct 2017 • Alexander Millane, Zachary Taylor, Helen Oleynikova, Juan Nieto, Roland Siegwart, César Cadena
Central to our approach is the representation of the environment as a collection of overlapping TSDF subvolumes.
Robotics
2 code implementations • 2 Oct 2017 • Helen Oleynikova, Zachary Taylor, Roland Siegwart, Juan Nieto
We perform extensive simulations to show that this system performs better than the standard approach of using an optimistic global planner, and also outperforms doing a single exploration step when the local planner is stuck.
Robotics
3 code implementations • 11 Nov 2016 • Helen Oleynikova, Zachary Taylor, Marius Fehr, Juan Nieto, Roland Siegwart
We show that we can build TSDFs faster than Octomaps, and that it is more accurate to build ESDFs out of TSDFs than occupancy maps.
Robotics