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09/06/2023
Learning to Recharge: UAV Coverage Path Planning through Deep Reinforcement Learning
Coverage path planning (CPP) is a critical problem in robotics, where th...
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08/28/2023
Edge Generation Scheduling for DAG Tasks using Deep Reinforcement Learning
Directed acyclic graph (DAG) tasks are currently adopted in the real-tim...
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06/03/2023
Model-aided Federated Reinforcement Learning for Multi-UAV Trajectory Planning in IoT Networks
Deploying teams of cooperative unmanned aerial vehicles (UAVs) to harves...
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05/31/2023
Efficient Learning of Urban Driving Policies Using Bird's-Eye-View State Representations
Autonomous driving involves complex decision-making in highly interactiv...
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05/26/2023
Physical Deep Reinforcement Learning: Safety and Unknown Unknowns
In this paper, we propose the Phy-DRL: a physics-model-regulated deep re...
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03/29/2023
Physical Deep Reinforcement Learning Towards Safety Guarantee
Deep reinforcement learning (DRL) has achieved tremendous success in man...
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03/06/2023
Flexible Gear Assembly With Visual Servoing and Force Feedback
Gear assembly is an essential but challenging task in industrial automat...
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02/14/2023
Residual Policy Learning for Vehicle Control of Autonomous Racing Cars
The development of vehicle controllers for autonomous racing is challeng...
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01/26/2023
Learning to Generate All Feasible Actions
Several machine learning (ML) applications are characterized by searchin...
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09/04/2022
Synergistic Redundancy: Towards Verifiable Safety for Autonomous Vehicles
As Autonomous Vehicle (AV) development has progressed, concerns regardin...
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08/30/2022
Verifiable Obstacle Detection
Perception of obstacles remains a critical safety concern for autonomous...
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08/30/2022
Learning 6D Pose Estimation from Synthetic RGBD Images for Robotic Applications
In this work, we propose a data generation pipeline by leveraging the 3D...
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03/04/2022
Cloud-Edge Training Architecture for Sim-to-Real Deep Reinforcement Learning
Deep reinforcement learning (DRL) is a promising approach to solve compl...
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07/21/2021
Multi-Agent Belief Sharing through Autonomous Hierarchical Multi-Level Clustering
Coordination in multi-agent systems is challenging for agile robots such...
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06/08/2021
Risk Ranked Recall: Collision Safety Metric for Object Detection Systems in Autonomous Vehicles
Commonly used metrics for evaluation of object detection systems (precis...
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04/09/2021
SchedGuard: Protecting against Schedule Leaks Using Linux Containers
Real-time systems have recently been shown to be vulnerable to timing in...
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10/23/2020
Multi-UAV Path Planning for Wireless Data Harvesting with Deep Reinforcement Learning
Harvesting data from distributed Internet of Things (IoT) devices with m...
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10/14/2020
UAV Path Planning using Global and Local Map Information with Deep Reinforcement Learning
Path planning methods for autonomous unmanned aerial vehicles (UAVs) are...
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07/01/2020
UAV Path Planning for Wireless Data Harvesting: A Deep Reinforcement Learning Approach
Autonomous deployment of unmanned aerial vehicles (UAVs) supporting next...
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03/05/2020
UAV Coverage Path Planning under Varying Power Constraints using Deep Reinforcement Learning
Coverage path planning (CPP) is the task of designing a trajectory that ...
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09/11/2019
