12 papers
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…
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approach for enabling autonomous robots to navigate in environments where pre-existing maps may be inaccurate, outdated, or unavailabl…
Coordination of Bounded Rational Drones through Informed Prior Policy
Durgakant Pushp, Junhong Xu, Lantao Liu
Biological agents, such as humans and animals, are capable of making decisions out of a very large number of choices in a limited time. They can do so because they use their prior…