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Found 11 papers, 5 papers with code
SEAL: Simultaneous Exploration and Localization in Multi-Robot Systems
The availability of accurate localization is critical for multi-robot exploration strategies; noisy or inconsistent localization causes failure in meeting exploration objectives.
Communication-Efficient Reinforcement Learning in Swarm Robotic Networks for Maze Exploration
The results demonstrate significantly higher coverage accuracy and efficiency while reducing costs and overlaps even in high packet loss and low communication range scenarios.
A Hierarchical Game-Theoretic Decision-Making for Cooperative Multi-Agent Systems Under the Presence of Adversarial Agents
We present an Explore game domain, where we measure the performance of MAS achieving tasks from the perspective of balancing the success probability and system costs.
A Strategy-Oriented Bayesian Soft Actor-Critic Model
Adopting reasonable strategies is challenging but crucial for an intelligent agent with limited resources working in hazardous, unstructured, and dynamic environments to improve the system's utility, decrease the overall cost, and increase mission success probability.
KT-BT: A Framework for Knowledge Transfer Through Behavior Trees in Multi-Robot Systems
We theoretically investigate the properties of the KT-BT framework in achieving homogeneity of high knowledge across the entire group compared to a heterogeneous system without the capability of sharing their knowledge.
Bayesian Soft Actor-Critic: A Directed Acyclic Strategy Graph Based Deep Reinforcement Learning
Adopting reasonable strategies is challenging but crucial for an intelligent agent with limited resources working in hazardous, unstructured, and dynamic environments to improve the system's utility, decrease the overall cost, and increase mission success probability.
How Can Robots Trust Each Other For Better Cooperation? A Relative Needs Entropy Based Robot-Robot Trust Assessment Model
Cooperation in multi-agent and multi-robot systems can help agents build various formations, shapes, and patterns presenting corresponding functions and purposes adapting to different situations.
RCAMP: A Resilient Communication-Aware Motion Planner for Mobile Robots with Autonomous Repair of Wireless Connectivity
Mobile robots, be it autonomous or teleoperated, require stable communication with the base station to exchange valuable information.
Wisture: RNN-based Learning of Wireless Signals for Gesture Recognition in Unmodified Smartphones
This paper introduces Wisture, a new online machine learning solution for recognizing touch-less dynamic hand gestures on a smartphone.
Learning of Behavior Trees for Autonomous Agents
Definition of an accurate system model for Automated Planner (AP) is often impractical, especially for real-world problems.
Mobility Enhancement for Elderly
In this project, we deal with two important enhancement features for mobility enhancement, Audio command and Vision aided obstacle detection and navigation.
