Panagiotis Rousseas

Orcid: 0000-0003-4669-3204

According to our database1, Panagiotis Rousseas authored at least 17 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
Constraint Selection in Optimization-Based Controllers.
CoRR, May, 2025

Feasibility Evaluation of Quadratic Programs for Constrained Control.
CoRR, February, 2025

Frontier-Based Exploration using Harmonic Transformations.
Proceedings of the 33rd Mediterranean Conference on Control and Automation, 2025

2024
Multirotor nonlinear model predictive control based on visual servoing of evolving features.
Auton. Robots, December, 2024

Reactive optimal motion planning to anywhere in the presence of moving obstacles.
Int. J. Robotics Res., 2024

An Actor-Critic Reinforcement Learning Scheme for Reactive 3D Optimal Motion Planning Based on Fluid Dynamics.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

A Tube-Based Reinforcement Learning Approach for Optimal Motion Planning in Unknown Workspaces.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Safety-Aware Trajectory Tracking using High-Order Control Barrier Functions.
Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

2023
State-Feedback Optimal Motion Planning in the Presence of Obstacles.
IEEE Robotics Autom. Lett., December, 2023

Reactive optimal motion planning for a class of holonomic planar agents using reinforcement learning with provable guarantees.
Frontiers Robotics AI, 2023

Reinforcement Learning-Based Optimal Multiple Waypoint Navigation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

A Continuous Off-Policy Reinforcement Learning Scheme for Optimal Motion Planning in Simply-Connected Workspaces.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
Indoor Visual Exploration with Multi-Rotor Aerial Robotic Vehicles.
Sensors, 2022

Optimal Motion Planning in Unknown Workspaces Using Integral Reinforcement Learning.
IEEE Robotics Autom. Lett., 2022

Trajectory Planning in Unknown 2D Workspaces: A Smooth, Reactive, Harmonics-Based Approach.
IEEE Robotics Autom. Lett., 2022

2021
Harmonic-Based Optimal Motion Planning in Constrained Workspaces Using Reinforcement Learning.
IEEE Robotics Autom. Lett., 2021

2020
Optimal Robot Motion Planning in Constrained Workspaces Using Reinforcement Learning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020


  Loading...