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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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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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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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Finite element analysis and experimental investigation in incremental sheet metal forming of composite matrix of Grade-V titanium
The single point incremental forming (SPIF) method is well-suited to meet the demands of the biomedical and aerospace sectors and a wide range of...
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Optimization and prediction of resistance seam weld quality in secondary coated steels using machine learning
With the use of ethanol blended fuel, secondary coating on steel becomes crucial to enhance the corrosion resistance in fuel tanks. Resistance seam...
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Numerical modeling of dynamic heat flow behaviour during friction stir welding of Al-Cu alloy
2219 Al-Cu alloy gained significance in various industrial applications, particularly in the aerospace, automotive, and marine sectors, where high...
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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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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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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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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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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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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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Machine learning classification approach for predicting tensile strength in aluminium alloy during friction stir welding
The machine learning (ML) methodology is receiving significant attention as a promising approach for addressing and modeling manufacturing...
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Comparison of mathematical modeling to determine the fanning friction (f) and colburn (j) factors for an offset strip compact heat exchanger
The current study involves compiling and validating an extensive mathematical model of a small heat exchanger with offset strip fins. Compact heat...
