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Found 7 papers, 0 papers with code
A Multi-Level Corroborative Approach for Verification and Validation of Autonomous Robotic Swarms
We explore our approach through a case study focused on a swarm of robots operating within a public cloakroom.
Evolving Multi-Objective Neural Network Controllers for Robot Swarms
The results also confirm that multi-objective neural network controllers evolved in a low-fidelity simulator can be transferred to high-fidelity simulated environments and that the controllers can scale to environments with a larger number of robots without further retraining needed.
AERoS: Assurance of Emergent Behaviour in Autonomous Robotic Swarms
The behaviours of a swarm are not explicitly engineered.
Understandable Controller Extraction from Video Observations of Swarms
Swarm behavior emerges from the local interaction of agents and their environment often encoded as simple rules.
Q-learning for real time control of heterogeneous microagent collectives
The effective control of microscopic collectives has many promising applications, from environmental remediation to targeted drug delivery.
Evolutionary computational platform for the automatic discovery of nanocarriers for cancer treatment
We present the EVONANO platform for the evolution of nanomedicines with application to anti-cancer treatments.
Model Exploration with Cost-Aware Learning
We present an extension to active learning routines in which non-constant costs are explicitly considered.
