1 citations · 1 across the 4 of their papers we have counts for
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Improving Reliable Navigation under Uncertainty via Predictions Informed by Non-Local Information
Raihan Islam Arnob, Gregory J. Stein
We improve reliable, long-horizon, goal-directed navigation in partially-mapped environments by using non-locally available information to predict the goodness of temporally-extend…
Guided Sampling-Based Motion Planning with Dynamics in Unknown Environments
Abhish Khanal, Hoang-Dung Bui, Gregory J. Stein +1
Despite recent progress improving the efficiency and quality of motion planning, planning collision-free and dynamically-feasible trajectories in partially-mapped environments rema…
Anticipatory Planning: Improving Long-Lived Planning by Estimating Expected Cost of Future Tasks
Roshan Dhakal, Md Ridwan Hossain Talukder, Gregory J. Stein
We consider a service robot in a household environment given a sequence of high-level tasks one at a time. Most existing task planners, lacking knowledge of what they may be asked…
Data-Efficient Policy Selection for Navigation in Partial Maps via Subgoal-Based Abstraction
Abhishek Paudel, Gregory J. Stein
We present a novel approach for fast and reliable policy selection for navigation in partial maps. Leveraging the recent learning-augmented model-based Learning over Subgoals Plann…
Learning Augmented, Multi-Robot Long-Horizon Navigation in Partially Mapped Environments
Abhish Khanal, Gregory J. Stein
We present a novel approach for efficient and reliable goal-directed long-horizon navigation for a multi-robot team in a structured, unknown environment by predicting statistics of…