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Oriana Peltzer

6 accepted papers

2025

Enter the Mind Palace: Reasoning and Planning for Long-term Active Embodied Question Answering

CoRL 2025poster

As robots become increasingly capable of operating over extended periods—spanning days, weeks, and even months—they are expected to accumulate knowledge of their environments and leverage this experience to assist humans more effectively. This paper studies the problem of Long-term Active Embodied Q…

Cited by 0SourceScholar
2023

Fast and Scalable Signal Inference for Active Robotic Source Seeking

ICRA 2023poster

In active source seeking, a robot takes repeated measurements in order to locate a signal source in a cluttered and unknown environment. A key component of an active source seeking robot planner is a model that can produce estimates of the signal at unknown locations with uncertainty quantification.…

Cited by 9SourceScholar
2023

Safe and Efficient Navigation in Extreme Environments using Semantic Belief Graphs

ICRA 2023poster

To achieve autonomy in unknown and unstruc-tured environments, we propose a method for semantic-based planning under perceptual uncertainty. This capability is cru-cial for safe and efficient robot navigation in environment with mobility-stressing elements that require terrain-specific locomotion po…

Cited by 8SourceScholar
2023

Semantics-Aware Mission Adaptation for Autonomous Exploration in Urban Environments

IROS 2023poster

Robust mission planning is an essential component for mission autonomy to perform complicated tasks in extreme environments. In this paper, we are interested in the role of semantic abstractions for guiding autonomous mission planning. In particular, we focus on how semantics can be leveraged to tra…

Cited by 3SourceScholar
2022

FIG-OP: Exploring Large-Scale Unknown Environments on a Fixed Time Budget

IROS 2022poster

We present a method for autonomous exploration of large-scale unknown environments under mission time con-straints. We start by proposing the Frontloaded Information Gain Orienteering Problem (FIG-OP) - a generalization of the traditional orienteering problem where the assumption of a reliable envir…

Cited by 22SourceScholar
2020

Optimal Sequential Task Assignment and Path Finding for Multi-Agent Robotic Assembly Planning

ICRA 2020poster

We study the problem of sequential task assignment and collision-free routing for large teams of robots in applications with inter-task precedence constraints (e.g., task A and task B must both be completed before task C may begin). Such problems commonly occur in assembly planning for robotic manuf…

Cited by 54SourceScholar