From the 1 of 9 linked papers with an AI index.
9 papers
Adapting Generalist Vehicle Models for High-Speed MPC Across Terrains
Rwik Rana, Jesse Quattrociocchi, Christian Ellis +3
The paper introduces OptCar, a method for adapting a generalist forward kinodynamic model to a specific vehicle using minimal real-world data and synthetic rollouts, improving high…
BEV-Patch-PF: Particle Filtering with BEV-Aerial Feature Matching for Off-Road Geo-Localization
Dongmyeong Lee, Jesse Quattrociocchi, Christian Ellis +5
We propose BEV-Patch-PF, a GPS-free sequential geo-localization system that integrates a particle filter with learned bird's-eye-view (BEV) and aerial feature maps. From onboard RG…
OVerSeeC: Open-Vocabulary Costmap Generation from Satellite Images and Natural Language
Rwik Rana, Jesse Quattrociocchi, Dongmyeong Lee +5
Aerial imagery provides essential global context for autonomous navigation, enabling route planning at scales inaccessible to onboard sensing. We address the problem of generating…
Terrain Costmap Generation via Scaled Preference Conditioning
Luisa Mao, Garrett Warnell, Peter Stone +1
Successful autonomous robot navigation in off-road domains requires the ability to generate high-quality terrain costmaps that are able to both generalize well over a wide variety…
ComposableNav: Instruction-Following Navigation in Dynamic Environments via Composable Diffusion
Zichao Hu, Chen Tang, Michael J. Munje +6
This paper considers the problem of enabling robots to navigate dynamic environments while following instructions. The challenge lies in the combinatorial nature of instruction spe…
SocialNav-SUB: Benchmarking VLMs for Scene Understanding in Social Robot Navigation
Michael J. Munje, Chen Tang, Shuijing Liu +6
Robot navigation in dynamic, human-centered environments requires socially-compliant decisions grounded in robust scene understanding. Recent Vision-Language Models (VLMs) exhibit…