4 citations · 4 across the 4 of their papers we have counts for
5 papers
Topological mapping for traversability-aware long-range navigation in off-road terrain
Jean-François Tremblay, Julie Alhosh, Louis Petit +3
Autonomous robots navigating in off-road terrain like forests open new opportunities for automation. While off-road navigation has been studied, existing work often relies on clear…
Learning active tactile perception through belief-space control
Jean-François Tremblay, David Meger, Francois Hogan +1
Robots operating in an open world will encounter novel objects with unknown physical properties, such as mass, friction, or size. These robots will need to sense these properties t…
Multimodal dynamics modeling for off-road autonomous vehicles
Jean-François Tremblay, Travis Manderson, Aurélio Noca +2
Dynamics modeling in outdoor and unstructured environments is difficult because different elements in the environment interact with the robot in ways that can be hard to predict. L…
Vision-Based Goal-Conditioned Policies for Underwater Navigation in the Presence of Obstacles
Travis Manderson, Juan Camilo Gamboa Higuera, Stefan Wapnick +4
We present Nav2Goal, a data-efficient and end-to-end learning method for goal-conditioned visual navigation. Our technique is used to train a navigation policy that enables a robot…
Automatic 3D Mapping for Tree Diameter Measurements in Inventory Operations
Jean-François Tremblay, Martin Béland, François Pomerleau +2
Forestry is a major industry in many parts of the world. It relies on forest inventory, which consists of measuring tree attributes. We propose to use 3D mapping, based on the iter…