Work

Planning under periodic observations: bounds and bounding-based solutions

Year: 2022

Type: conference-paper

Source: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

DOI: 10.1109/iros47612.2022.9982056

Authors: Federico Rossi, Dylan A. Shell

Institutions: California Institute of Technology, Jet Propulsion Laboratory, Texas A&M University

Language: English

Topic: AI-based Problem Solving and Planning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Science Foundation, National Aeronautics and Space Administration, Jet Propulsion Laboratory

Awards: Collaborative Research: EAGER: Foundations of Secure Multi-Robot Computation, G3648211085

OpenAlex ID: W4312435592

FWCI: 0.414

Cites: 14

Cited by: 3

Related to: 10