7 citations · 16 across the 22 of their papers we have counts for
6 papers · 1 filter
Ratatouille: Imitation Learning Ingredients for Real-world Social Robot Navigation
James R. Han, Mithun Vanniasinghe, Hshmat Sahak +2
Scaling Reinforcement Learning to in-the-wild social robot navigation is both data-intensive and unsafe, since policies must learn through direct interaction and inevitably encount…
Sound Source Localization for Human-Robot Interaction in Outdoor Environments
Victor Liu, Timothy Du, Jordy Sehn +2
This paper presents a sound source localization strategy that relies on a microphone array embedded in an unmanned ground vehicle and an asynchronous close-talking microphone near…
Toward Teach and Repeat Across Seasonal Deep Snow Accumulation
Matěj Boxan, Alexander Krawciw, Timothy D. Barfoot +1
Teach and repeat is a rapid way to achieve autonomy in challenging terrain and off-road environments. A human operator pilots the vehicles to create a network of paths that are map…
Tunable Virtual IMU Frame by Weighted Averaging of Multiple Non-Collocated IMUs
Yizhou Gao, Tim Barfoot
We present a new method to combine several rigidly connected but physically separated IMUs through a weighted average into a single virtual IMU (VIMU). This has the benefits of (i)…
RaSCL: Radar to Satellite Crossview Localization
Blerim Abdullai, Tony Wang, Xinyuan Qiao +2
GNSS is unreliable, inaccurate, and insufficient in many real-time autonomous field applications. In this work, we present a GNSS-free global localization solution that contains a…
Balancing Act: Trading Off Odometry and Map Registration for Efficient Lidar Localization
Katya M. Papais, Daniil Lisus, Cedric Le Gentil +2
Most autonomous vehicles rely on accurate and efficient localization, which is achieved by comparing live sensor data to a preexisting map, to navigate their environment. Balancing…