1 citations · 4 across the 10 of their papers we have counts for
12 papers
Adapting Generalist Vehicle Models for High-Speed MPC Across Terrains
Rwik Rana, Jesse Quattrociocchi, Christian Ellis +3
High-speed off-road autonomy requires precise closed-loop control for a target vehicle while remaining robust across changing terrains. Recent forward kinodynamic (FKD) prediction…
PreSIST: Vision-Language-Informed Object Persistence Prediction in Open-World Scenes
Amanda Adkins, Tarunvidyut Ravisankar, Joydeep Biswas
Robots deployed over long periods must reason about environments that change over time. Existing long-term perception systems often address object change reactively, updating their…
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…
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…
ViPE: Video Pose Engine for 3D Geometric Perception
Jiahui Huang, Qunjie Zhou, Hesam Rabeti +12
Accurate 3D geometric perception is an important prerequisite for a wide range of spatial AI systems. While state-of-the-art methods depend on large-scale training data, acquiring…
cuVSLAM: CUDA accelerated visual odometry and mapping
Alexander Korovko, Dmitry Slepichev, Alexander Efitorov +5
Accurate and robust pose estimation is a key requirement for any autonomous robot. We present cuVSLAM, a state-of-the-art solution for visual simultaneous localization and mapping,…
Spatiotemporal Contrastive Learning for Cross-View Video Localization in Unstructured Off-road Terrains
Zhiyun Deng, Dongmyeong Lee, Amanda Adkins +3
Robust cross-view 3-DoF localization in GPS-denied, off-road environments remains challenging due to (1) perceptual ambiguities from repetitive vegetation and unstructured terrain,…
COMPASS: Cross-embodiment Mobility Policy via Residual RL and Skill Synthesis
Wei Liu, Huihua Zhao, Chenran Li +4
As robots are increasingly deployed in diverse application domains, enabling robust mobility across different embodiments has become a critical challenge. Classical mobility stacks…
Learning Quantitative Automata Modulo Theories
Eric Hsiung, Swarat Chaudhuri, Joydeep Biswas
Quantitative automata are useful representations for numerous applications, including modeling probability distributions over sequences to Markov chains and reward machines. Active…
X-MOBILITY: End-To-End Generalizable Navigation via World Modeling
Wei Liu, Huihua Zhao, Chenran Li +5
General-purpose navigation in challenging environments remains a significant problem in robotics, with current state-of-the-art approaches facing myriad limitations. Classical appr…
ReMEmbR: Building and Reasoning Over Long-Horizon Spatio-Temporal Memory for Robot Navigation
Abrar Anwar, John Welsh, Joydeep Biswas +2
Navigating and understanding complex environments over extended periods of time is a significant challenge for robots. People interacting with the robot may want to ask questions l…
CLOVER: Context-aware Long-term Object Viewpoint- and Environment- Invariant Representation Learning
Dongmyeong Lee, Amanda Adkins, Joydeep Biswas
Mobile service robots can benefit from object-level understanding of their environments, including the ability to distinguish object instances and re-identify previously seen insta…