Channel - ME
24-8-2026 12:52:06
Channel Videos
A Reduced-order Nonlinear Aeroelastic Framework for Wings Undergoing Large Deflections
K. Sinha
28-5-2026 10:25:00
Abstraction Learning with Guarantees: Data-driven Approaches to Symbolic Control and Verification
R. Coppola
3-2-2026 16:25:00
Biomechanics-aware control for robot-assisted physiotherapy - a novel approach for treating shoulder injuries
I. Belli
13-2-2026 08:55:00
Boron-doped diamond for electrochemical sensing: Scrutinizing the material and advancing applications
Z. Liu
11-3-2026 13:55:00
Bridging Laboratory Testing and In-Service Coating Performance for Structural Aerospace Applications
A.J. Cornet
19-1-2026 13:55:00
Bringing Lightsails Down to Earth
L. Norder
20-11-2026 13:55:00
Chemical Imaging Methods for Cultural Heritage: Advanced Data Acquisition and Processing
L.M. de Almeida Nieto
6-5-2026 07:55:00
Compressed Sensing for Sparse Channel Estimation in Next Generation Radios: Addressing Hardware Impairments
H. Masoumi
30-3-2026 07:55:00
Corrosion inhibition of aerospace alloys through organic molecules: An end-to-end materials discovery approach from surface analytical and electrochemical experiments to predictive machine learning relationships
C. Özkan
9-1-2026 08:55:00
Data-Driven and Robust Predictive Control and Optimization: With Applications to Building Energy Management
Y. Li
6-5-2026 10:25:00
DEM Modelling of Multi-Component Segregation in the Blast Furnace Charging System
A.H. Hadi
3-2-2026 11:25:00
Determination of the optical and dynamic properties of turbid media via Interferometric diffuse optics
B. Zhang
11-3-2026 11:25:00
Development and Application of Semi-Analytical Method for Thermal Simulation of Laser Powder Bed Fusion Process
Y. Yang
1-5-2026 07:55:00
Distributed and Multi-Level Predictive Control: Partitioning and Abstraction
A. Riccardi
22-5-2026 10:25:00
Electrochemical CO2 Reduction to Multicarbon Products on MoS2 Catalysts: Engineering sulfur-vacant MoS2 and Co-Catalyst Interfaces for Selective Electrochemical CO2 Reduction to Multicarbon Products
E. Mádai
21-1-2026 08:55:00
Enabling ship changeability; a lifecycle approach to the maritime energy transition
J.J. Zwaginga
8-4-2026 10:25:00
Energy system design and operation of hydrogen fuelled ships
F.P. Mylonopoulos
1-6-2026 15:25:00
Experimental thermodynamic analysis of premixed methanol marine engines
K.I. Kiouranakis
5-6-2026 07:55:00
Exploiting structure in distributionally robust optimization
L. Chaouach
29-6-2026 10:25:00
Fast Algorithms for Optimization, Games, and Control Applications
R. Rahimi Baghbadorani
29-5-2026 07:55:00
Flexure-Driven Eversion Mechanisms: for Confined-Space Gripping
A.E. Huisjes
9-1-2026 11:25:00
Forces in the shoulder joint: On validation of Musculoskeletal shoulder models
Forces in the shoulder joint: On validation of Musculoskeletal shoulder models
Voor verschillende toepassingen is er grote vraag naar gedetailleerde informatie over spierkrachten in het menselijke bewegingsapparaat. Deze krachten kunnen echter nauwelijks in-vivo gemeten worden. Tot op heden zijn spierskeletmodellen het beste alternatief voor directe spierkrachtmeting. Een belangrijk aspect van een spierskeletmodel is de validiteit van het model. Voor validatie moeten modelvoorspellingen getoetst worden aan werkelijk gemeten waarden. Het hoofddoel van dit proefschrift is de validatie op het gebied van kinematica en dynamica van een veelomvattend spierskeletmodel van de menselijke schouder, het Delft Shoulder and Elbow Model. Recentelijk is een implanteerbare, geïnstrumenteerde schouderprothese ontwikkeld die de contactkracht in het glenohumerale gewricht in-vivo kan meten. Hoewel ook hiermee directe spierkrachtmeting niet mogelijk is, kan de contactkracht wel gebruikt worden voor validatie op het niveau van gesomde spierkrachten. In het eerste deel van dit proefschrift zijn de contactkrachten, zoals gemeten door het geïnstrumenteerde implantaat, gebruikt als ‘gouden standaard’ om het model kwantitatief te valideren. Geconcludeerd kan worden dat de nauwkeurigheid van het model in haar voorspelling van glenohumerale contactkracht matig is. Het tweede deel van het proefschrift onderzoekt de verschillende redenen die ten grondslag liggen aan het verschil tussen gemeten en voorspelde krachten en richt zich op het verkleinen van de verschillen door aanpassingen aan het model. Een selectie van mogelijke oorzaken (bv. spiercocontractie, wrijving in het gewricht) worden geïdentificeerd en onderzocht. Een belangrijke conclusie van dit deel is dat cocontractie door antagonistische spieren in acht dient te worden genomen bij het modelleren. Ook wordt geconcludeerd dat wrijvingsmomenten in de schouderprothese aanzienlijk zijn en er daarom rekening mee dient te worden gehouden bij biomechanische analyse van kunstmatige schouders.
A. Asadi Nikooyan
20-6-2011 12:30:00
Formal Analysis of Stochastic Neural Dynamical Models
S.J.L. Adams
12-11-2026 08:55:00
Game-Theoretic Motion Planning for Multi-Agent Interaction
L. Peters
26-3-2026 08:55:00
Hull Form Design Optimization: Using Computational Fluid Dynamics Data-Driven Surrogate Model
J.M. Walker
1-12-2025 15:55:00
Hydrodynamic Lubrication with Magnetorheological Fluids
G.H.G. van der Meer
28-1-2026 11:25:00
Hydrodynamic study of a conical, jet-spouted bubbling fluidized bed
R. Ramesh
28-10-2026 11:25:00
Hydrodynamics-Aware Model Predictive Formation Control for Energy-Efficient Multi-Vessel Systems
X. Xiong
6-7-2026 10:25:00
Hydrogen carriers as alternative fuels on ships
E.S. Van Rheenen
12-6-2026 10:25:00
Hydrogen Embrittlement Susceptibility of Ferritic High Strength Steels: An Experimental Approach
T. Boot
5-12-2025 10:55:00
In Rhythm with the Wind: Synchronized Wake Mixing in Wind Farms
A.A.W. van Vondelen
28-1-2026 16:25:00
Integrated photonic sensors and materials for next generation ultrasound imaging
R.T. Erdoğan
26-1-2026 08:55:00
Large-Eddy Simulations of Helix Active Wake Control: Sensitivity, Robustness and Advanced Actuator Line Modelling
E. Taschner
9-2-2026 13:55:00
Learning-based control under constraints: Towards safety and computational efficiency
K. He
20-1-2026 08:55:00
Learning-based model predictive control for mixed-logical dynamical and linear systems
C.F. Oliveira da Silva
16-11-2026 11:25:00
Light-based Manufacturing of Micro and Mesoscale 3D Environments for Neuromechanobiology
P.F.J. van Altena
25-11-2026 11:25:00
Maritime Polymer Electrolyte Membrane Fuel Cell Durability
A.E. Broer
18-11-2026 13:55:00
Mechanochemical regeneration of NaBH4
S. Garrido Nuñez
2-2-2026 11:25:00
Methanol Sprays in Marine Internal Combustion Engines: A Computational Fluid Dynamics Approach
K. Zoumpourlos
29-4-2026 10:25:00
Modelling, Control, and Coordination for Autonomous Driving on a Reproducible Robotic Platform
L. Lyons
12-6-2026 07:55:00
Molecular simulation of Phase and Reaction Equilibria. Software and Algorithm Development
R. Hens
20-10-2020 12:25:00
Motion Perception and Sickness Modelling and Prediction for Automated Driving and Simulators
V. Kotian
12-3-2026 11:25:00
Nonlinear Parameter Estimators in Dynamic Environments: A Bayesian Approach
S. Vakili
3-9-2026 12:55:00
Quantifying the localization uncertainty of modulation enhanced single-molecule localization microscopy
D. Kalisvaart
26-3-2026 16:25:00
Shape-Selectivity Effects of Zeolites on Hydroisomerization of Long-Chain Alkanes
S. Sharma
12-1-2026 11:25:00
Towards implementing laboursaving technology in surgery
A.M. Kooijmans
29-6-2026 15:25:00
Translational Medical Device Development in Vascular Access for Haemodialysis
N.A. White
12-12-2025 10:55:00
Underactuated Hands: Fundamentals, Performance Analysis and Design
There is an emerging need to apply adaptive robotic hands to substitute humans in dangerous, laborious, or monotonous work. The state-of-the-art robotic hands cannot fulfill this need, because they are expensive, hard to control and they consist of many vulnerable motors and sensors. It is aimed to develop simple, adaptive hands that are capable of grasping and holding a large variety of objects. To achieve these properties, the concept of underactuation (i.e. having fewer actuators than independently moving fingers) is applied. First new metrics are defined which quantify the range of object sizes that underactuated hands can grasp and hold. Furthermore, a new method is developed to dimension the main design parameters of underactuated hands, such that the fingers can envelope and stably grasp the required range of objects. The new performance metrics and design method are applied to the design and evaluation of a new robotic hand that consists of a minimum number of motors (i.e. one) and sensors (i.e. zero). The innovation of this hand is that it mechanically decides whether to hold an object in a precision grasp or a power grasp configuration. No sensors, auxiliary actuation mechanisms, motors or control are needed to convert between these two distinct grasp configurations. It is concluded that the principle of underactuation and the proposed design method are effective to achieve self-adaptive, robust and cheap hands that are capable to grasp and hold a large range of different objects.
G.A. Kragten
28-6-2011 12:30:00
Visual Tracking of Vulnerable Road Users for Automated Driving
S.A. Krebs
10-7-2026 10:25:00
Washing away the silence: Cochlear implants for local drug delivery
A. Isaakidou
20-2-2026 08:55:00
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