84 citations · 309 across the 35 of their papers we have counts for
6 papers · 1 filter
Parallel Reinforcement Learning Simulation for Visual Quadrotor Navigation
Jack Saunders, Sajad Saeedi, Wenbin Li
Reinforcement learning (RL) is an agent-based approach for teaching robots to navigate within the physical world. Gathering data for RL is known to be a laborious task, and real-wo…
Systematic Comparison of Path Planning Algorithms using PathBench
Hao-Ya Hsueh, Alexandru-Iosif Toma, Hussein Ali Jaafar +4
Path planning is an essential component of mobile robotics. Classical path planning algorithms, such as wavefront and rapidly-exploring random tree (RRT) are used heavily in autono…
Far-UVC Disinfection with Robotic Mobile Manipulator
Ishaan Mehta, Hao-Ya Hsueh, Nikolaos Kourtzanidis +2
The COVID-19 pandemic has demonstrated the need for a more effective and efficient disinfection approach to combat infectious diseases. Ultraviolet germicidal irradiation (UVGI) is…
Pareto Frontier Approximation Network (PA-Net) to Solve Bi-objective TSP
Ishaan Mehta, Sharareh Taghipour, Sajad Saeedi
The travelling salesperson problem (TSP) is a classic resource allocation problem used to find an optimal order of doing a set of tasks while minimizing (or maximizing) an associat…
RL-PGO: Reinforcement Learning-based Planar Pose-Graph Optimization
Nikolaos Kourtzanidis, Sajad Saeedi
The objective of pose SLAM or pose-graph optimization (PGO) is to estimate the trajectory of a robot given odometric and loop closing constraints. State-of-the-art iterative approa…
A Robot Web for Distributed Many-Device Localisation
Riku Murai, Joseph Ortiz, Sajad Saeedi +2
We show that a distributed network of robots or other devices which make measurements of each other can collaborate to globally localise via efficient ad-hoc peer to peer communica…