7 citations · 23 across the 8 of their papers we have counts for
8 papers
Specification-Guided Critical Scenario Identification for Automated Driving
Adam Molin, Edgar A. Aguilar, Dejan Ničković +3
To test automated driving systems, we present a case study for finding critical scenarios in driving environments guided by formal specifications. To that aim, we devise a framewor…
Global and Preference-based Optimization with Mixed Variables using Piecewise Affine Surrogates
Mengjia Zhu, Alberto Bemporad
Optimization problems involving mixed variables (i.e., variables of numerical and categorical nature) can be challenging to solve, especially in the presence of mixed-variable cons…
Learning Critical Scenarios in Feedback Control Systems for Automated Driving
Mengjia Zhu, Alberto Bemporad, Maximilian Kneissl +1
Testing is essential for verifying and validating control designs, especially in safety-critical applications. In particular, the control system governing an automated driving vehi…
A peristaltic soft, wearable robot for compression and massage therapy
Mengjia Zhu, Adrian Ferstera, Stejara Dinulescu +4
Soft robotics is attractive for wearable applications that require conformal interactions with the human body. Soft wearable robotic garments hold promise for supplying dynamic com…
C-GLISp: Preference-Based Global Optimization under Unknown Constraints with Applications to Controller Calibration
Mengjia Zhu, Dario Piga, Alberto Bemporad
Preference-based global optimization algorithms minimize an unknown objective function only based on whether the function is better, worse, or similar for given pairs of candidate…
Preference-based MPC calibration
Mengjia Zhu, Alberto Bemporad, Dario Piga
Automating the calibration of the parameters of a control policy by means of global optimization requires quantifying a closed-loop performance function. As this can be impractical…
A Multimodal, Enveloping Soft Gripper: Shape Conformation, Bioinspired Adhesion, and Expansion-Driven Suction
Yufei Hao, Shantonu Biswas, Elliot Hawkes +4
A key challenge in robotics is to create efficient methods for grasping objects with diverse shapes, sizes, poses, and properties. Grasping with hand-like end effectors often requi…
Fluidic Fabric Muscle Sheets for Wearable and Soft Robotics
Mengjia Zhu, Thanh Nho Do, Elliot Hawkes +1
Conformable robotic systems are attractive for applications in which they can be used to actuate structures with large surface areas, to provide forces through wearable garments, o…