Polynomial chaos explicit solution of the optimal control problem in Model Predictive Control. - Tom Lefebvre; Frederik M. De Belie; Guillaume Crevecoeur (AIM, 2017)

A Radial Basis Function based Optimization Algorithm with Regular Simplex set geometry in Ellipsoidal Trust-Regions. - Tom Lefebvre; Frederik De Belie; Guillaume Crevecoeur (CoRR, 2018)

Adaptive Approximate Dynamic Optimization : a slider-crank case study. - Tom Lefebvre; Frederik De Belie; Frank Naets; Guillaume Crevecoeur (AIM, 2019)

Path Integral Policy Improvement with Differential Dynamic Programming. - Tom Lefebvre; Guillaume Crevecoeur (AIM, 2019)

Inverse Stochastic Quadcopter Trajectory Generation using Flat Inverse Dynamics and Polynomial Chaos Uncertainty Propagation. - Tom Lefebvre; Frederik De Belie; Guillaume Crevecoeur (CoDIT, 2019)

Towards accelerated robotic deployment by supervised learning of latent space observer and policy from simulated experiments with expert policies. - Olivier Algoet; Tom Lefebvre; Guillaume Crevecoeur (AIM, 2020)

On Entropic Optimization and Path Integral Control. - Tom Lefebvre; Guillaume Crevecoeur (CoRR, 2020)

On Entropy Regularized Path Integral Control for Trajectory Optimization. - Tom Lefebvre; Guillaume Crevecoeur (Entropy, 2020)

On Moment Estimation From Polynomial Chaos Expansion Models. - Tom Lefebvre (IEEE Control. Syst. Lett., 2021)

Overload Clutch Design for Collision Tolerant High-Speed Industrial Robots. - Frederik Ostyn; Tom Lefebvre; Bram Vanderborght; Guillaume Crevecoeur (IEEE Robotics Autom. Lett., 2021)

Entropy Regularised Deterministic Optimal Control: From Path Integral Solution to Sample-Based Trajectory Optimisation. - Tom Lefebvre; Guillaume Crevecoeur (AIM, 2022)

Comparative Study of Sample Based Model Predictive Control With Application to Autonomous Racing. - Thomas Neve; Tom Lefebvre; Guillaume Crevecoeur (AIM, 2022)

Efficient ODE Substructure Identification of the Acrobot under Partial Observability using Neural Networks and Direct Multiple Shooting. - Victor Vantilborgh; Tom Lefebvre; Guillaume Crevecoeur (AIM, 2022)

Comparative Study of Co-Design Strategies for Mission-Specific Design of Quadcopters using Differential Flatness and Bayesian Optimization. - Jolan Wauters; Tom Lefebvre; Guillaume Crevecoeur (AIM, 2022)

Information-Theoretic Policy Extraction from Partial Observations. - Tom Lefebvre (CoRR, 2022)

Optimal Control as Variational Inference. - Tom Lefebvre (CoRR, 2022)

Information-theoretic policy learning from partial observations with fully informed decision makers. - Tom Lefebvre (Pattern Recognit. Lett., 2022)

Adaptive Control of a Mechatronic System Using Constrained Residual Reinforcement Learning. - Tom Staessens; Tom Lefebvre; Guillaume Crevecoeur (IEEE Trans. Ind. Electron., 2022)

Towards Task Tailored Articulated Robot Designs. - Tom Lefebvre; Jolan Wauters; Frederik Ostyn; Guillaume Crevecoeur (AIM, 2023)

Flatness-based MPC using B-splines transcription with application to a Pusher-Slider System. - Thomas Neve; Tom Lefebvre; Sander De Witte; Guillaume Crevecoeur (AIM, 2023)

Data-driven Identification of Stochastic System Dynamics under Partial Observability Using Physics-Based Model Priors with Application to Acrobot. - Victor Vantilborgh; Tom Lefebvre; Guillaume Crevecoeur (AIM, 2023)

Multi-Objective Co-Design for Mission-Specific Development of Unmanned Aerial Systems. - Jolan Wauters; Tom Lefebvre; Guillaume Crevecoeur (AIM, 2023)

A Supervisory Learning Control Framework for Autonomous & Real-time Task Planning for an Underactuated Cooperative Robotic task. - Sander De Witte; Tom Lefebvre; Thijs Van Hauwermeiren; Guillaume Crevecoeur (AIM, 2023)

Probabilistic Majorization of Partially Observable Markov Decision Processes. - Tom Lefebvre (IWAI, 2023)

A posteriori control densities: Imitation learning from partial observations. - Tom Lefebvre; Guillaume Crevecoeur (Pattern Recognit. Lett., 2023)

Reactive Planning MPC of Pusher-Sliders with Obstacle Avoidance and Imposed Velocity Profiles. - Sander De Witte; Thomas Neve; Tom Lefebvre; Guillaume Crevecoeur (CoDIT, 2024)

Adaptive Risk-Sensitive Optimal Control with Dual Features Through Active Inference. - Mohammad Mahmoudi Filabadi; Tom Lefebvre; Guillaume Crevecoeur (ECC, 2024)

A Probabilistic Treatment of (PO)MDPs with Multiplicative Reward Structure. - Tom Lefebvre (ECC, 2024)

Dynamic Feedback Linearization of Flying Wings With Real-time Newton-Raphson Iterations. - Tom Lefebvre; Jolan Wauters; Guillaume Crevecoeur (ECC, 2024)

Trajectory Planning of Slider-Pushers in Cluttered Environments with Automatic Switching. - Thomas Neve; Sander De Witte; Tom Lefebvre; Guillaume Crevecoeur (ECC, 2024)

Deterministic Trajectory Optimization through Probabilistic Optimal Control. - Mohammad Mahmoudi Filabadi; Tom Lefebvre; Guillaume Crevecoeur (CoRR, 2024)

An Optimal Control Framework for Airborne Wind Energy Systems with a Flexible Tether. - Omid Heydarnia; Jolan Wauters; Tom Lefebvre; Guillaume Crevecoeur (CoRR, 2024)

Introducing DAIMYO: a first-time-right dynamic design architecture and its application to tail-sitter UAS development. - Jolan Wauters; Tom Lefebvre; Joris Degroote; Ivo Couckuyt; Guillaume Crevecoeur (CoRR, 2024)

Probabilistic Latent Variable Modeling for Dynamic Friction Identification and Estimation. - Victor Vantilborgh; Sander De Witte; Frederik Ostyn; Tom Lefebvre; Guillaume Crevecoeur (CoRR, 2024)

Probabilistic control and majorisation of optimal control. - Tom Lefebvre (Syst. Control. Lett., 2024)

Data-Driven Virtual Sensing for Probabilistic Condition Monitoring of Solenoid Valves. - Victor Vantilborgh; Tom Lefebvre; Kerem Eryilmaz; Guillaume Crevecoeur (IEEE Trans Autom. Sci. Eng., 2024)

Energy-Based Exploration for Reinforcement Learning of Underactuated Mechanical Systems. - Jeroen Taets; Tom Lefebvre; Frederik Ostyn; Guillaume Crevecoeur (IEEE Access, 2025)