453 Result(s)
within
Engineering
Image Processing and Computer Vision
**e **an
Chapter
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Chapter and Conference Paper
Correction to: Well Log Data Preparation and Effective Utilization of Drilling Parameters Using Data Science Based Approaches
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Chapter and Conference Paper
Correction to: Design and Implementation of 16-Bit Optimized RISC Processor with Novel Pipelining
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Chapter and Conference Paper
Retraction Note to: High Accuracy for Hyperspectral Image Classification Using Hybrid Spectral 3D-2D CNN
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Chapter and Conference Paper
Correction to: Cognitive Engineering for AI: An Octave Drawing Test for Building a Mathematical Structure of a Subconscious Mind
Correction to: Chapter “Cognitive Engineering for AI: An Octave Drawing Test for Building a Mathematical Structure of a Subconscious Mind” in:M. S. Kaiser et al. (eds.), Proceedings of the Third International Con...
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Chapter
How to Move? Control, Navigation and Path Planning for Mobile Robots
Controllers and control techniques used in robotics, including the PID controller.
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Chapter
Evaluating Mixture-of-Experts Architectures for Network Aggregation
The mixture-of-experts (MoE) architecture is an approach to aggregate several expert components via an additional gating module, which learns to predict the most suitable distribution of the expert’s outputs f...
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Chapter
Get Together! Multi-robot Systems: Bio-Inspired Concepts and Deployment Challenges
robotics is a branch of robotics that focuses on multi-robot systems that coordinate to perform complex tasks through simple behavioral rules. Swarm robotics combines multi-robot systems with swarm intellig...
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Chapter
A Variational Deep Synthesis Approach for Perception Validation
This chapter introduces a novel data synthesis framework for validation of perception functions based on machine learning to ensure the safety and functionality of these systems, specifically in the context of...
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Chapter
Social Robots: Principles of Interaction Design and User Studies
This chapter introduces you to the basic steps in designing and conducting social robotics research.
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Chapter
Joint Optimization for DNN Model Compression and Corruption Robustness
Modern deep neural networks (DNNs) are achieving state-of-the-art results due to their capability to learn a faithful representation of the data they are trained on. In this chapter, we address two insufficien...
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Chapter
Managing the World Complexity: From Linear Regression to Deep Learning
robot algorithms for perception and control are often based on simple, linear models of the world. These approaches are very effective for simple tasks where the system reasonably satisfies the corresponding ...
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Chapter
Does Redundancy in AI Perception Systems Help to Test for Super-Human Automated Driving Performance?
While automated driving is often advertised with better-than-human driving performance, this chapter reviews that it is nearly impossible to provide direct statistical evidence on the system level that this is...
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Chapter
Robot Hexapod Build Labs
Robotics is a practical field of study. As we discussed earlier in the book, it is essential to actively construct your own knowledge of the subject through experience. The series of projects presented in this...
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Chapter
Optimized Data Synthesis for DNN Training and Validation by Sensor Artifact Simulation
Synthetic, i.e., computer-generated imagery (CGI) data is a key component for training and validating deep-learning-based perceptive functions due to its ability to simulate rare cases, avoidance of privacy is...
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Chapter
Improving Transferability of Generated Universal Adversarial Perturbations for Image Classification and Segmentation
Although deep neural networks (DNNs) are high-performance methods for various complex tasks, e.g., environment perception in automated vehicles (AVs), they are vulnerable to adversarial perturbations. Recent w...
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Chapter
Confidence Calibration for Object Detection and Segmentation
Calibrated confidence estimates obtained from neural networks are crucial, particularly for safety-critical applications such as autonomous driving or medical image diagnosis. However, although the task of con...
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Chapter
Genealogy of Artificial Beings: From Ancient Automata to Modern Robotics
This chapter is an extensive overview of the history of automata and robotics from the Hellenistic period, which saw the birth of science and technology, and during which lived the founders of modern engineeri...
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Chapter
Design Thinking: From Empathy to Evaluation
This chapter introduces methods and approaches for design thinking as the main drivers in develo** the ability to identify critical problems in a given situation. This problem identification represents the o...
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Chapter
The Robot Operating System (ROS1 &2): Programming Paradigms and Deployment
The amount of knowledge needed to deploy a robotic system can sometimes feel overwhelming. However, many individual problems were solved already, including software ecosystems to simulate and then deploy our r...
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Chapter
What Makes Robots? Sensors, Actuators, and Algorithms
In Chap. 4, we discussed that programming could be thought of as input, process, and is a similar paradigm used in robotics. A robot could be thought of rudimentarily as analogous to how a human or an animal...
