Gaussian Process Position-Dependent Feedforward: With Application to a Wire Bonder (IEEE 17th International Conference on Advanced Motion Control)

Position-Dependent Snap Feedforward: A Gaussian Process Framework (2022 IEEE American Control Conference)

Frequency Domain Identification of Multirate Systems:

A Lifted Local Polynomial Modeling Approach (CDC 2022 Conference)

Person Re-Identification on a Mobile Robot Using

Only the IR Gray Value Image of a Depth Camera (IEEE ISIE22 Conference)

Ablation Study of a Person Re-Identification on a Mobile Robot Using a Depth Camera (IEEE ISIE22 Conference)

Gaussian Process based Feedforward Control for Nonlinear Systems with Flexible Tasks: With Application to a Printer with Friction (Modeling, Estimation and Control Conference 2022)

Optimal Commutation for Switched Reluctance Motors using Gaussian Process Regression (Modeling, Estimation and Control Conference 2022)

A Kernel-Based Identification Approach to LPV Feedforward: With Application to Motion Systems (22nd IFAC World Congress)

Cascaded Calibration of Mechatronic Systems via Bayesian Inference (22nd IFAC World Congress)

Beyond Nyquist in Frequency Response Function Identification: Applied to Slow-Sampled Systems (IEEE Control Systems Letters)

Bidirectional recurrent learning of inverse dynamic models for robots with elastic joints: a real-time real-world implementation (Frontiers in Neurorobotics)

An Evaluation Framework for Vision-in-the-Loop Motion Control Systems (2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation)

Leveraging Satisfiability Modulo Theory Solvers for Verification of Neural Networks in Predictive Maintenance Applications (Information)

Improved Positioning Precision using a Multi-rate Multi-sensor in Industrial Motion Control Systems (2023 European Control Conference)

Time-sensitive autonomous architectures (Real-Time Systems)

Memory-Aware Latency Prediction Model for Concurrent Kernels in Partitionable GPUs: Simulations and Experiments (Workshop on Job Scheduling Strategies for Parallel Processing)

Machine Learning Techniques for Understanding and Predicting Memory Interference in CPU-GPU Embedded Systems (RTCSA 2023)

Nonlinear Bayesian Identification for Motor Commutation: Applied to Switched Reluctance Motors (62nd IEEE Conference on Decision and Control)

A Structured Inference Optimization Approach for Vision-Based DNN Deployment on Legacy Systems (ETFA 2023)

Vision-based multi-size object positioning

Max van Haren, Maurice Poot, Dragan Kosti´c, Robin van Es, Jim Portegies and Tom Oomen

Max van Haren, Maurice Poot,  Jim Portegies and Tom Oomen

Max van Haren, Lennart Blanken and Tom Oomen

Sebastian Flores and Jana Jost

Sebastian Flores and Jana Jost

Max van Meer; Maurice Poot; Jim Portegies; Tom Oomen

Max van Meer; Gert Witvoet; Tom Oomen

Max van Haren, Lennart Blanken and Tom Oomen

Max van Meer, Emre Deniz, Gert Witvoet and Tom Oomen

Max van Haren, Leonid Mirkin, Lennart Blanken and Tom Oomen

Valencia-Vidal, Brayan; Ros Vidal, Eduardo; Abadía Tercedor, Ignacio; Luque Sola, Niceto

Chaitanya Jugade, Daniel Hartgers, Phan D´uc Anh, Sajid Mohamed, Mojtaba Haghi, Dip Goswami, Andrew Nelson, Gijs van der Veen, Kees Goossens

Guidotti, Dario; Pandolfo, Laura; 

Pulina, Luca

Chaitanya Jugade, Daniel Hartgers, Sajid Mohamed, Dip Goswami, Andrew Nelson, Gijs van der Veen, Kees Goossens

Ferraro, Donato; Palazzi, Luca; Gavioli, Federico; Guzzinati, Michele; Bernardi, Andrea; Rouxel, Benjamin; Burgio, Paolo; Solieri, Marco

Masola, Alessio; Capodieci, Nicola; Cavicchioli, Roberto; Sanudo Olmedo, Ignacio; Rouxel, Benjamin

Masola, Alessio; Capodieci, Nicola; Rouxel, Benjamin; Franchini, Giorgia; Cavicchioli, Roberto

van Meer, Max; González, Rodrigo A.; Witvoet, Gert; Oomen, Tom

Devi Darshini Manickam, Sajid Mohamed, Vibhor Jain, Dip Goswami, Leonard Lensink

Jain, Vibhor; Mohamed, Sajid; Goswami, Dip; Stuijk, Sander