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6 Shared Control
Based on the successful implementations of the lateral balancing and tiltup motion, in this chapter, we are going to develop a shared control...
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7 Conclusions
Gyrover is a novel concept for mobility that has distinct advantages over conventional, statically stable vehicles. The concept has been veri.ed with...
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2 Kinematics and Dynamics
Previously, Gyrover was controlled only manually, using two joysticks to control the drive and tilt motors through a radio link. A complete dynamic...
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4 Learning-based Control
Due to the complexity of the system, it is difficult for us to work out a “complete” analytical model of it. Therefore, in this chapter, we propose...
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1 Introduction
Land locomotion can be broadly characterized as quasi-static or dynamic. Quasi-static equilibrium implies that inertial (acceleration-related)...
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5 Further Topics on Learning-based Control
Modeling human control strategy (HCS) refers to a model of a human expert’s control action in response to system real-time feedback. That is, we aim...
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3 Model-based Control
Due to the inherent lateral instability, the first step in controlling the robot is stabilization. Fortunately, the lean angle of the robot can be...
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Optimizing sustainable reverse logistic networks: a case study of medical waste using the genetic artificial bee colony algorithm
The technological and industrial revolution that the world has witnessed in recent decades has greatly improved the standard of living and simplified...
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Biodegradable innovation: investigating static structural properties of AZ31B magnesium based on experimental and finite element analysis
The design development of AZ31B magnesium biomaterial determines its strength and comfort in actual applications. Bone plate design is carried out to...
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Tensile and Cyclic Deformation Response of Aluminum Biphenylene-Based Graphene Composite Laminates: An Atomistic Simulation Study
In this study, the response of aluminum biphenylene-based graphene composite laminates to tensile and cyclic deformation is investigated using...
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Adaptive member adding for truss topology optimization: application to elastic design
This paper provides a rigorous and computationally efficient means of identifying compliance-based optimal truss topologies from high-resolution...
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Bayesian optimization with hidden constraints for aircraft design
A challenge in aircraft design optimization is the presence of non-computable, so-called hidden, constraints that do not return a value in certain...
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Active learning for adaptive surrogate model improvement in high-dimensional problems
This paper investigates a novel approach to efficiently construct and improve surrogate models in problems with high-dimensional input and output. In...
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Optimizing wire-cut EDM parameters through evolutionary algorithm: a study for improving cost efficiency in turbo-machinery manufacturing
In the rapidly evolving landscape of technology, controlling costs in the Wire Electrical Discharge Machining (WEDM) process has emerged as a pivotal...
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Robust design optimization using a non-intrusive second-order approximation of stochastic moments
This paper presents a new formulation of the second-order fourth-moment method (sometimes referred to as second-order perturbation method or...
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Development of Weighted Ensemble Deep Learning Network for Surface Roughness Prediction and Flank Wear Measurement
Recently in the modern manufacturing industries, surface roughness (SR) has become a difficult factor for characterizing the surface quality of the...
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Machining Performance of Uncoated and Carbide Coated Cutting Inserts in Ti6Al4V Turning: An Experimental and Numerical Approach
In this study, the machinability behaviour of Ti6Al4V alloy was investigated using carbide coated and uncoated inserts at varying cutting speeds,...
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SoccerNet 2023 challenges results
The SoccerNet 2023 challenges were the third annual video understanding challenges organized by the SoccerNet team. For this third edition, the...
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Covering Array on the Cartesian Product of Hypergraphs
Covering array (CA) on a hypergraph H is a combinatorial object used in interaction testing of a complex system modeled as H . Given a t -uniform...
