4 papers
Belief Consistency Between Foundation-Model Evidence and Geometric Perception in Persistent Robotic Maps
Christoffer Heckman, Harel Biggie, Brendan Crowe +1
Persistent maps used by autonomous robots increasingly fuse a geometric perception stack whose assertions are well-characterized with a foundation-model channel that produces seman…
SceneGraphGrounder: Zero-Shot 3D Visual Grounding via Structured Scene Graph Matching
Xuefei Sun, Xujia Zhang, Brendan Crowe +2
Zero-shot 3D visual grounding requires localizing objects in unstructured environments from free-form natural language. Recent vision-language model (VLM) approaches achieve promis…
Octree Diffusion for Semantic Scene Generation and Completion
Xujia Zhang, Brendan Crowe, Christoffer Heckman
The completion, extension, and generation of 3D semantic scenes are an interrelated set of capabilities that are useful for robotic navigation and exploration. Existing approaches…
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…