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08/17/2023
Fast Decision Support for Air Traffic Management at Urban Air Mobility Vertiports using Graph Learning
Urban Air Mobility (UAM) promises a new dimension to decongested, safe, ...
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08/01/2023
CONSTRUCT: A Program Synthesis Approach for Reconstructing Control Algorithms from Embedded System Binaries in Cyber-Physical Systems
We introduce a novel approach to automatically synthesize a mathematical...
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07/06/2023
Physics-Infused Machine Learning Based Prediction of VTOL Aerodynamics with Sparse Datasets
Complex optimal design and control processes often require repeated eval...
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03/15/2023
Efficient Planning of Multi-Robot Collective Transport using Graph Reinforcement Learning with Higher Order Topological Abstraction
Efficient multi-robot task allocation (MRTA) is fundamental to various t...
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02/12/2023
Graph Learning Based Decision Support for Multi-Aircraft Take-Off and Landing at Urban Air Mobility Vertiports
Majority of aircraft under the Urban Air Mobility (UAM) concept are expe...
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10/04/2022
Conceptual Design of Cellular Auxetic Systems with Passive Adaptation to Loading
Auxetics refer to a class of engineered structures which exhibit an over...
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09/26/2022
Efficient Concurrent Design of the Morphology of Unmanned Aerial Systems and their Collective-Search Behavior
The collective operation of robots, such as unmanned aerial vehicles (UA...
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05/06/2022
Learning Scalable Policies over Graphs for Multi-Robot Task Allocation using Capsule Attention Networks
This paper presents a novel graph reinforcement learning (RL) architectu...
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01/16/2022
Efficient Training of Transfer Mapping in Physics-Infused Machine Learning Models of UAV Acoustic Field
Physics-Infused Machine Learning (PIML) architectures aim at integrating...
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01/11/2022
Learning Robust Policies for Generalized Debris Capture with an Automated Tether-Net System
Tether-net launched from a chaser spacecraft provides a promising method...
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09/24/2021
Using Physiological Information to Classify Task Difficulty in Human-Swarm Interaction
Human-swarm interaction has recently gained attention due to its plethor...
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09/13/2021
Learning Robot Swarm Tactics over Complex Adversarial Environments
To accomplish complex swarm robotic missions in the real world, one need...
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07/24/2021
Efficient Inverse Design of 2D Elastic Metamaterial Systems Using Invertible Neural Networks
Locally resonant elastic metamaterials (LREM) can be designed, by optimi...
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03/26/2021
Scalable Coverage Path Planning of Multi-Robot Teams for Monitoring Non-Convex Areas
This paper presents a novel multi-robot coverage path planning (CPP) alg...
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12/08/2020
Deep Learning based Multi-Modal Sensing for Tracking and State Extraction of Small Quadcopters
This paper proposes a multi-sensor based approach to detect, track, and ...
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07/29/2020
Metamodel Based Forward and Inverse Design for Passive Vibration Suppression
Aperiodic metamaterials represent a class of structural systems that are...
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03/04/2020
Hybrid modeling: Applications in real-time diagnosis
Reduced-order models that accurately abstract high fidelity models and e...
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07/09/2019
Informative Path Planning with Local Penalization for Decentralized and Asynchronous Swarm Robotic Search
Decentralized swarm robotic solutions to searching for targets that emit...
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07/09/2019
Decentralized Dynamic Task Allocation in Swarm Robotic Systems for Disaster Response
Multiple robotic systems, working together, can provide important soluti...
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05/31/2019
Training Detection-Range-Frugal Cooperative Collision Avoidance Models for Quadcopters via Neuroevolution
Cooperative autonomous approaches to avoiding collisions among small Unm...
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05/31/2019
Adaptive Model Refinement with Batch Bayesian Sampling for Optimization of Bio-inspired Flow Tailoring
This paper presents an advancement to an approach for model-independent ...
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05/24/2019
Decentralized Informative Path Planning with Exploration-Exploitation Balance for Swarm Robotic Search
Swarm robotic search is concerned with searching targets in unknown envi...
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03/17/2019
Adaptive Genomic Evolution of Neural Network Topologies (AGENT) for State-to-Action Mapping in Autonomous Agents
Neuroevolution is a process of training neural networks (NN) through an ...
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07/20/2018
Multi-criteria Evolution of Neural Network Topologies: Balancing Experience and Performance in Autonomous Systems
Majority of Artificial Neural Network (ANN) implementations in autonomou...
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07/20/2018