4 papers
Robust Robotic Exploration and Mapping Using Generative Occupancy Map Synthesis
Lorin Achey, Alec Reed, Brendan Crowe +2
We present a novel approach for enhancing robotic exploration by using generative occupancy mapping. We implement SceneSense, a diffusion model designed and trained for predicting…
Online Diffusion-Based 3D Occupancy Prediction at the Frontier with Probabilistic Map Reconciliation
Alec Reed, Lorin Achey, Brendan Crowe +2
Autonomous navigation and exploration in unmapped environments remains a significant challenge in robotics due to the difficulty robots face in making commonsense inference of unob…
SceneSense: Diffusion Models for 3D Occupancy Synthesis from Partial Observation
Alec Reed, Brendan Crowe, Doncey Albin +3
When exploring new areas, robotic systems generally exclusively plan and execute controls over geometry that has been directly measured. When entering space that was previously obs…
Looking Around Corners: Generative Methods in Terrain Extension
Alec Reed, Christoffer Heckman
In this paper, we provide an early look at our model for generating terrain that is occluded in the initial lidar scan or out of range of the sensor. As a proof of concept, we show…