3.8 Proceedings Paper

Multi-Agent Active Search using Realistic Depth-Aware Noise Model

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Proceedings Paper Automation & Control Systems

Multi-Agent Active Search using Realistic Depth-Aware Noise Model

Ramina Ghods et al.

Summary: The NATS algorithm addresses various challenges in active search in unknown environments, such as accuracy, reliability, communication, and centralized control. By allowing decentralized coordination among multiple agents, NATS significantly outperforms existing methods.

2021 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA 2021) (2021)

Article Automation & Control Systems

Multi-agent active information gathering in discrete and continuous-state decentralized POMDPs by policy graph improvement

Mikko Lauri et al.

AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS (2020)

Article Robotics

Mixed-Integer Linear Programming Models for Multi-Robot Non-Adversarial Search

Beatriz A. Asfora et al.

IEEE ROBOTICS AND AUTOMATION LETTERS (2020)

Article Computer Science, Information Systems

Collaborative Multi-Robot Search and Rescue: Planning, Coordination, Perception, and Active Vision

Jorge Pena Queralta et al.

IEEE ACCESS (2020)

Article Robotics

Dec-MCTS: Decentralized planning for multi-robot active perception

Graeme Best et al.

INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH (2019)

Article Computer Science, Artificial Intelligence

Multi-modal active perception for information gathering in science missions

Akash Arora et al.

AUTONOMOUS ROBOTS (2019)

Article Robotics

Information-Guided Robotic Maximum Seek-and-Sample in Partially Observable Continuous Environments

Genevieve Flaspohler et al.

IEEE ROBOTICS AND AUTOMATION LETTERS (2019)

Article Computer Science, Information Systems

A Survey of Deep Learning-Based Object Detection

Licheng Jiao et al.

IEEE ACCESS (2019)

Article Computer Science, Artificial Intelligence

Monte Carlo planning for active object classification

Timothy Patten et al.

AUTONOMOUS ROBOTS (2018)

Article Computer Science, Artificial Intelligence

A Tutorial on Thompson Sampling

Daniel J. Russo et al.

FOUNDATIONS AND TRENDS IN MACHINE LEARNING (2018)

Article Robotics

Detecting, localizing, and tracking an unknown number of moving targets using a team of mobile robots

Philip Dames et al.

INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH (2017)

Article Computer Science, Artificial Intelligence

Multi-robot target detection and tracking: taxonomy and survey

Cyril Robin et al.

AUTONOMOUS ROBOTS (2016)

Article Robotics

Adaptive informative path planning in metric spaces

Zhan Wei Lim et al.

INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH (2016)

Proceedings Paper Computer Science, Artificial Intelligence

Semantic Segmentation of Small Objects and Modeling of Uncertainty in Urban Remote Sensing Images Using Deep Convolutional Neural Networks

Michael Kampffmeyer et al.

PROCEEDINGS OF 29TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS, (CVPRW 2016) (2016)

Article Robotics

ORB-SLAM: A Versatile and Accurate Monocular SLAM System

Raul Mur-Artal et al.

IEEE TRANSACTIONS ON ROBOTICS (2015)

Proceedings Paper Computer Science, Artificial Intelligence

Active Object Localization with Deep Reinforcement Learning

Juan C. Caicedo et al.

2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2015)

Article Computer Science, Information Systems

Near-Optimal Adaptive Compressed Sensing

Matthew L. Malloy et al.

IEEE TRANSACTIONS ON INFORMATION THEORY (2014)

Article Robotics

Cooperative multi-robot estimation and control for radio source localization

Benjamin Charrow et al.

INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH (2014)

Article Automation & Control Systems

Extracting semantic indoor maps from occupancy grids

Ziyuan Liu et al.

ROBOTICS AND AUTONOMOUS SYSTEMS (2014)

Article Automation & Control Systems

A survey on coverage path planning for robotics

Enric Galceran et al.

ROBOTICS AND AUTONOMOUS SYSTEMS (2013)

Article Robotics

A Survey and Analysis of Multi-Robot Coordination

Zhi Yan et al.

INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS (2013)

Article Robotics

Analysis of Search Decision Making Using Probabilistic Search Strategies

Timothy H. Chung et al.

IEEE TRANSACTIONS ON ROBOTICS (2012)

Article Statistics & Probability

TWENTY QUESTIONS WITH NOISE: BAYES OPTIMAL POLICIES FOR ENTROPY LOSS

Bruno Jedynak et al.

JOURNAL OF APPLIED PROBABILITY (2012)

Article Robotics

Progress toward multi-robot reconnaissance and the MAGIC 2010 competition

Edwin Olson et al.

JOURNAL OF FIELD ROBOTICS (2012)

Article Computer Science, Artificial Intelligence

Search and pursuit-evasion in mobile robotics A survey

Timothy H. Chung et al.

AUTONOMOUS ROBOTS (2011)

Article Computer Science, Information Systems

Latent Variable Bayesian Models for Promoting Sparsity

David P. Wipf et al.

IEEE TRANSACTIONS ON INFORMATION THEORY (2011)

Article Robotics

Efficient Multi-robot Search for a Moving Target

Geoffrey Hollinger et al.

INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH (2009)

Article Operations Research & Management Science

Optimal discrete search with imperfect specificity

Moshe Kress et al.

MATHEMATICAL METHODS OF OPERATIONS RESEARCH (2008)

Article Computer Science, Artificial Intelligence

MonoSLAM: Real-time single camera SLAM

Andrew J. Davison et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2007)

Article Computer Science, Information Systems

Compressed sensing

DL Donoho

IEEE TRANSACTIONS ON INFORMATION THEORY (2006)

Article Computer Science, Information Systems

Robust uncertainty principles:: Exact signal reconstruction from highly incomplete frequency information

EJ Candès et al.

IEEE TRANSACTIONS ON INFORMATION THEORY (2006)

Article Engineering, Electrical & Electronic

Sparse Bayesian learning for basis selection

DP Wipf et al.

IEEE TRANSACTIONS ON SIGNAL PROCESSING (2004)

Article Computer Science, Artificial Intelligence

Human-robot interaction in rescue robotics

RR Murphy

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS (2004)

Article Automation & Control Systems

Decentralized control of cooperative robotic vehicles: Theory and application

JT Feddema et al.

IEEE TRANSACTIONS ON ROBOTICS AND AUTOMATION (2002)