1 citations · 2 across the 4 of their papers we have counts for
4 papers
SemNav: A Model-Based Planner for Zero-Shot Object Goal Navigation Using Vision-Foundation Models
Arnab Debnath, Gregory J. Stein, Jana Kosecka
Object goal navigation is a fundamental task in embodied AI, where an agent is instructed to locate a target object in an unexplored environment. Traditional learning-based methods…
A Hybrid Approach to Indoor Social Navigation: Integrating Reactive Local Planning and Proactive Global Planning
Arnab Debnath, Gregory J. Stein, Jana Kosecka
We consider the problem of indoor building-scale social navigation, where the robot must reach a point goal as quickly as possible without colliding with humans who are freely movi…
Comparison of Model-Free and Model-Based Learning-Informed Planning for PointGoal Navigation
Yimeng Li, Arnab Debnath, Gregory J. Stein +1
In recent years several learning approaches to point goal navigation in previously unseen environments have been proposed. They vary in the representations of the environments, pro…
Learning-Augmented Model-Based Planning for Visual Exploration
Yimeng Li, Arnab Debnath, Gregory Stein +1
We consider the problem of time-limited robotic exploration in previously unseen environments where exploration is limited by a predefined amount of time. We propose a novel explor…