34 citations · 50 across the 12 of their papers we have counts for
12 papers
Hybrid Belief Reinforcement Learning for Efficient Coordinated Spatial Exploration
Danish Rizvi, David Boyle
Coordinating multiple autonomous agents to explore and serve spatially heterogeneous demand requires jointly learning unknown spatial patterns and planning trajectories that maximi…
Adaptive Probabilistic Planning for the Uncertain and Dynamic Orienteering Problem
Qiuchen Qian, Yanran Wang, David Boyle
The Orienteering Problem (OP) is a well-studied routing problem that has been extended to incorporate uncertainties, reflecting stochastic or dynamic travel costs, prize-collection…
Is That Rain? Understanding Effects on Visual Odometry Performance for Autonomous UAVs and Efficient DNN-based Rain Classification at the Edge
Andrea Albanese, Yanran Wang, Davide Brunelli +1
The development of safe and reliable autonomous unmanned aerial vehicles relies on the ability of the system to recognise and adapt to changes in the local environment based on sen…
On Solving Close Enough Orienteering Problems with Overlapped Neighborhoods
Qiuchen Qian, Yanran Wang, David Boyle
Close Enough Traveling Salesman Problem (CETSP) is a well-known variant of TSP whereby the agent may complete its mission at any point within a target neighborhood. Heuristics base…
Probabilistic Constrained Reinforcement Learning with Formal Interpretability
Yanran Wang, Qiuchen Qian, David Boyle
Reinforcement learning can provide effective reasoning for sequential decision-making problems with variable dynamics. Such reasoning in practical implementation, however, poses a…
Constrained Reinforcement Learning using Distributional Representation for Trustworthy Quadrotor UAV Tracking Control
Yanran Wang, David Boyle
Simultaneously accurate and reliable tracking control for quadrotors in complex dynamic environments is challenging. As aerodynamics derived from drag forces and moment variations…
QuaDUE-CCM: Interpretable Distributional Reinforcement Learning using Uncertain Contraction Metrics for Precise Quadrotor Trajectory Tracking
Yanran Wang, James O'Keeffe, Qiuchen Qian +1
Accuracy and stability are common requirements for Quadrotor trajectory tracking systems. Designing an accurate and stable tracking controller remains challenging, particularly in…
Interpretable Stochastic Model Predictive Control using Distributional Reinforced Estimation for Quadrotor Tracking Systems
Yanran Wang, James O'Keeffe, Qiuchen Qian +1
This paper presents a novel trajectory tracker for autonomous quadrotor navigation in dynamic and complex environments. The proposed framework integrates a distributional Reinforce…
Open5x: Accessible 5-axis 3D printing and conformal slicing
Freddie Hong, Steve Hodges, Connor Myant +1
The common layer-by-layer deposition of regular, 3-axis 3D printing simplifies both the fabrication process and the 3D printer's mechanical design. However, the resulting 3D printe…
KinoJGM: A framework for efficient and accurate quadrotor trajectory generation and tracking in dynamic environments
Yanran Wang, James O'Keeffe, Qiuchen Qian +1
Unmapped areas and aerodynamic disturbances render autonomous navigation with quadrotors extremely challenging. To fly safely and efficiently, trajectory planners and trackers must…
Practical Mission Planning for Optimized UAV-Sensor Wireless Recharging
Qiuchen Qian, James O'Keeffe, Yanran Wang +1
Optimal maintenance of sensor nodes in a Wireless Rechargeable Sensor Network (WRSN) requires effective scheduling of power delivery vehicles by solving the Charging Scheduling Pro…
A new approach for pedestrian density estimation using moving sensors and computer vision
Eric K. Tokuda, Yitzchak Lockerman, Gabriel B. A. Ferreira +4
An understanding of pedestrian dynamics is indispensable for numerous urban applications including the design of transportation networks and planing for business development. Pedes…