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Adaptive Diffusion Terrain Generator for Autonomous Uneven Terrain Navigation
Youwei Yu, Junhong Xu, Lantao Liu
Model-free reinforcement learning has emerged as a powerful method for developing robust robot control policies capable of navigating through complex and unstructured terrains. The…
Context-Generative Default Policy for Bounded Rational Agent
Durgakant Pushp, Junhong Xu, Zheng Chen +1
Bounded rational agents often make decisions by evaluating a finite selection of choices, typically derived from a reference point termed the default policy,' based on previous…
Visual-Geometry GP-based Navigable Space for Autonomous Navigation
Mahmoud Ali, Durgkant Pushp, Zheng Chen +1
Autonomous navigation in unknown environments is challenging and demands the consideration of both geometric and semantic information in order to parse the navigability of the envi…
Gaussian Process-based Traversability Analysis for Terrain Mapless Navigation
Abe Leininger, Mahmoud Ali, Hassan Jardali +1
Efficient navigation through uneven terrain remains a challenging endeavor for autonomous robots. We propose a new geometric-based uneven terrain mapless navigation framework combi…
Boundary-Aware Value Function Generation for Safe Stochastic Motion Planning
Junhong Xu, Kai Yin, Jason M. Gregory +2
Navigation safety is critical for many autonomous systems such as self-driving vehicles in an urban environment. It requires an explicit consideration of boundary constraints that…
Autonomous Mapless Navigation on Uneven Terrains
Hassan Jardali, Mahmoud Ali, Lantao Liu
We propose a new method for autonomous navigation in uneven terrains by utilizing a sparse Gaussian Process (SGP) based local perception model. The SGP local perception model is tr…
POVNav: A Pareto-Optimal Mapless Visual Navigator
Durgakant Pushp, Zheng Chen, Chaomin Luo +2
Mapless navigation has emerged as a promising approach for enabling autonomous robots to navigate in environments where pre-existing maps may be inaccurate, outdated, or unavailabl…