1 citations · 1 across the 2 of their papers we have counts for
5 papers
Sample Efficient Social Navigation Using Inverse Reinforcement Learning
Bobak H. Baghi, Gregory Dudek
In this paper, we present an algorithm to efficiently learn socially-compliant navigation policies from observations of human trajectories. As mobile robots come to inhabit and tra…
Learning Intuitive Physics with Multimodal Generative Models
Sahand Rezaei-Shoshtari, Francois Robert Hogan, Michael Jenkin +2
Predicting the future interaction of objects when they come into contact with their environment is key for autonomous agents to take intelligent and anticipatory actions. This pape…
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…
One-Shot Informed Robotic Visual Search in the Wild
Karim Koreitem, Florian Shkurti, Travis Manderson +3
We consider the task of underwater robot navigation for the purpose of collecting scientifically relevant video data for environmental monitoring. The majority of field robots that…