2 citations · 2 across the 4 of their papers we have counts for
4 papers
GPUSimBench: Towards Scalable and Reliable GPU-Accelerated Simulators in Embodied AI
Huzhenyu Zhang, Shenghai Yuan, Wenrui Yan +4
Data-driven embodied AI is rapidly transitioning into a paradigm that scales training through massively parallel simulation, where GPU-accelerated simulators serve as the foundatio…
SGN-CIRL: Scene Graph-based Navigation with Curriculum, Imitation, and Reinforcement Learning
Nikita Oskolkov, Huzhenyu Zhang, Dmitry Makarov +2
The 3D scene graph models spatial relationships between objects, enabling the agent to efficiently navigate in a partially observable environment and predict the location of the ta…
MSSPlace: Multi-Sensor Place Recognition with Visual and Text Semantics
Alexander Melekhin, Dmitry Yudin, Ilia Petryashin +1
Place recognition is a challenging task in computer vision, crucial for enabling autonomous vehicles and robots to navigate previously visited environments. While significant progr…
PRISM-TopoMap: Online Topological Mapping with Place Recognition and Scan Matching
Kirill Muravyev, Alexander Melekhin, Dmitry Yudin +1
Mapping is one of the crucial tasks enabling autonomous navigation of a mobile robot. Conventional mapping methods output a dense geometric map representation, e.g. an occupancy gr…