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Found 12 papers, 0 papers with code
Synergising Human-like Responses and Machine Intelligence for Planning in Disaster Response
In the rapidly changing environments of disaster response, planning and decision-making for autonomous agents involve complex and interdependent choices.
Hierarchical Fault-Tolerant Coverage Control for an Autonomous Aerial Agent
The second-stage fault-tolerant controller then aims to follow this reference plan, even in the presence of erroneous control inputs caused by non-Gaussian disturbances.
Joint Estimation and Control for Multi-Target Passive Monitoring with an Autonomous UAV Agent
This work considers the problem of passively monitoring multiple moving targets with a single unmanned aerial vehicle (UAV) agent equipped with a direction-finding radar.
Integrated Guidance and Gimbal Control for Coverage Planning With Visibility Constraints
This work proposes an integrated guidance and gimbal control coverage path planning (CPP) approach, in which the mobility and gimbal inputs of an autonomous UAV agent are jointly controlled and optimized to achieve full coverage of a given object of interest, according to a specified set of optimality criteria.
Distributed Search Planning in 3-D Environments With a Dynamically Varying Number of Agents
In this work, a novel distributed search-planning framework is proposed, where a dynamically varying team of autonomous agents cooperate in order to search multiple objects of interest in three-dimension (3-D).
Downing a Rogue Drone with a Team of Aerial Radio Signal Jammers
This work proposes a novel distributed control framework in which a team of pursuer agents equipped with a radio jamming device cooperate in order to track and radio-jam a rogue target in 3D space, with the ultimate purpose of disrupting its communication and navigation circuitry.
A Cooperative Multi-Agent Probabilistic Framework for Search and Track Missions
In this work a robust and scalable cooperative multi-agent searching and tracking framework is proposed.
Tracking People in Highly Dynamic Industrial Environments
We have conducted extensive real-world experiments in a construction site showing significant accuracy improvement via cross-modality training and the use of social forces.
Jointly-Optimized Searching and Tracking with Random Finite Sets
In this paper, we investigate the problem of joint searching and tracking of multiple mobile targets by a group of mobile agents.
Fusion of Radio and Camera Sensor Data for Accurate Indoor Positioning
In this paper, we propose a novel positioning system, RAVEL (Radio And Vision Enhanced Localization), which fuses anonymous visual detections captured by widely available camera infrastructure, with radio readings (e. g. WiFi radio data).
Probabilistic Search and Track with Multiple Mobile Agents
In this paper we are interested in the task of searching and tracking multiple moving targets in a bounded surveillance area with a group of autonomous mobile agents.
Decentralized Search and Track with Multiple Autonomous Agents
Based on this, we develop decentralized cooperative look-ahead strategies for efficient searching and tracking of an unknown number of targets inside a bounded surveillance area.
