Tom Lefebvre

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 36

Top Topics

Reinforcement Learning

Partially Observable Markov Decision Process

Partial Observations

Top Venues

Pattern Recognit. Lett.

Publications

Thomas Neve, Sander De Witte, Tom Lefebvre, Guillaume Crevecoeur
Trajectory Planning of Slider-Pushers in Cluttered Environments with Automatic Switching. ECC (2024)
Omid Heydarnia, Jolan Wauters, Tom Lefebvre, Guillaume Crevecoeur
An Optimal Control Framework for Airborne Wind Energy Systems with a Flexible Tether. CoRR (2024)
Tom Lefebvre
Probabilistic control and majorisation of optimal control. Syst. Control. Lett. 190 (2024)
Tom Lefebvre
A Probabilistic Treatment of (PO)MDPs with Multiplicative Reward Structure. ECC (2024)
Mohammad Mahmoudi Filabadi, Tom Lefebvre, Guillaume Crevecoeur
Adaptive Risk-Sensitive Optimal Control with Dual Features Through Active Inference. ECC (2024)
Victor Vantilborgh, Tom Lefebvre, Kerem Eryilmaz, Guillaume Crevecoeur
Data-Driven Virtual Sensing for Probabilistic Condition Monitoring of Solenoid Valves. IEEE Trans Autom. Sci. Eng. 21 (2) (2024)
Mohammad Mahmoudi Filabadi, Tom Lefebvre, Guillaume Crevecoeur
Deterministic Trajectory Optimization through Probabilistic Optimal Control. CoRR (2024)
Tom Lefebvre, Jolan Wauters, Guillaume Crevecoeur
Dynamic Feedback Linearization of Flying Wings With Real-time Newton-Raphson Iterations. ECC (2024)
Sander De Witte, Tom Lefebvre, Thijs Van Hauwermeiren, Guillaume Crevecoeur
A Supervisory Learning Control Framework for Autonomous & Real-time Task Planning for an Underactuated Cooperative Robotic task. CoRR (2023)
Tom Lefebvre, Jolan Wauters, Frederik Ostyn, Guillaume Crevecoeur
Towards Task Tailored Articulated Robot Designs. AIM (2023)
Victor Vantilborgh, Tom Lefebvre, Guillaume Crevecoeur
Data-driven Identification of Stochastic System Dynamics under Partial Observability Using Physics-Based Model Priors with Application to Acrobot. AIM (2023)
Tom Lefebvre
Probabilistic Majorization of Partially Observable Markov Decision Processes. IWAI (2023)
Jolan Wauters, Tom Lefebvre, Guillaume Crevecoeur
Multi-Objective Co-Design for Mission-Specific Development of Unmanned Aerial Systems. AIM (2023)
Thomas Neve, Tom Lefebvre, Sander De Witte, Guillaume Crevecoeur
Flatness-based MPC using B-splines transcription with application to a Pusher-Slider System. AIM (2023)
Sander De Witte, Tom Lefebvre, Thijs Van Hauwermeiren, Guillaume Crevecoeur
A Supervisory Learning Control Framework for Autonomous & Real-time Task Planning for an Underactuated Cooperative Robotic task. AIM (2023)
Tom Lefebvre, Guillaume Crevecoeur
A posteriori control densities: Imitation learning from partial observations. Pattern Recognit. Lett. 169 (2023)
Tom Lefebvre, Guillaume Crevecoeur
Entropy Regularised Deterministic Optimal Control: From Path Integral Solution to Sample-Based Trajectory Optimisation. AIM (2022)
Tom Lefebvre
Information-theoretic policy learning from partial observations with fully informed decision makers. Pattern Recognit. Lett. 164 (2022)
Jolan Wauters, Tom Lefebvre, Guillaume Crevecoeur
Comparative Study of Co-Design Strategies for Mission-Specific Design of Quadcopters using Differential Flatness and Bayesian Optimization. AIM (2022)
Victor Vantilborgh, Tom Lefebvre, Guillaume Crevecoeur
Efficient ODE Substructure Identification of the Acrobot under Partial Observability using Neural Networks and Direct Multiple Shooting. AIM (2022)
Tom Lefebvre
Information-Theoretic Policy Extraction from Partial Observations. CoRR (2022)
Tom Lefebvre
Optimal Control as Variational Inference. CoRR (2022)
Tom Staessens, Tom Lefebvre, Guillaume Crevecoeur
Adaptive Control of a Mechatronic System Using Constrained Residual Reinforcement Learning. IEEE Trans. Ind. Electron. 69 (10) (2022)
Thomas Neve, Tom Lefebvre, Guillaume Crevecoeur
Comparative Study of Sample Based Model Predictive Control With Application to Autonomous Racing. AIM (2022)
Tom Lefebvre, Guillaume Crevecoeur
Entropy Regularised Deterministic Optimal Control: From Path Integral Solution to Sample-Based Trajectory Optimisation. CoRR (2021)
Frederik Ostyn, Tom Lefebvre, Bram Vanderborght, Guillaume Crevecoeur
Overload Clutch Design for Collision Tolerant High-Speed Industrial Robots. IEEE Robotics Autom. Lett. 6 (2) (2021)
Tom Staessens, Tom Lefebvre, Guillaume Crevecoeur
Adaptive control of a mechatronic system using constrained residual reinforcement learning. CoRR (2021)
Tom Lefebvre
On Moment Estimation From Polynomial Chaos Expansion Models. IEEE Control. Syst. Lett. 5 (5) (2021)
Tom Lefebvre, Guillaume Crevecoeur
On Entropy Regularized Path Integral Control for Trajectory Optimization. Entropy 22 (10) (2020)
Olivier Algoet, Tom Lefebvre, Guillaume Crevecoeur
Towards accelerated robotic deployment by supervised learning of latent space observer and policy from simulated experiments with expert policies. AIM (2020)
Tom Lefebvre, Guillaume Crevecoeur
On Entropic Optimization and Path Integral Control. CoRR (2020)
Tom Lefebvre, Guillaume Crevecoeur
Path Integral Policy Improvement with Differential Dynamic Programming. AIM (2019)
Tom Lefebvre, Frederik De Belie, Frank Naets, Guillaume Crevecoeur
Adaptive Approximate Dynamic Optimization : a slider-crank case study. AIM (2019)
Tom Lefebvre, Frederik De Belie, Guillaume Crevecoeur
Inverse Stochastic Quadcopter Trajectory Generation using Flat Inverse Dynamics and Polynomial Chaos Uncertainty Propagation. CoDIT (2019)
Tom Lefebvre, Frederik De Belie, Guillaume Crevecoeur
A Radial Basis Function based Optimization Algorithm with Regular Simplex set geometry in Ellipsoidal Trust-Regions. CoRR (2018)
Tom Lefebvre, Frederik M. De Belie, Guillaume Crevecoeur
Polynomial chaos explicit solution of the optimal control problem in Model Predictive Control. AIM (2017)