Robotics

 

 


 

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E.g., 2017-09-18
E.g., 2017-09-18
E.g., 2017-09-18
Oct 2nd 2017

The world needs people who understand how to get robots moving. Making robots move requires mathematical knowledge and programming skills. In this course, we get started on the problem of describing where things are in the world. We’ll start simply and consider the case of objects in a two-dimensional plane. We’ll then dive into control theory and begin to model dynamic systems including the electric motors and gearboxes that go into a robot. The skills you learn and the tools we use will be essential for completing the practical MATLAB exercises.

Average: 4.3 (3 votes)
Sep 25th 2017

Robotic systems typically include three components: a mechanism which is capable of exerting forces and torques on the environment, a perception system for sensing the world and a decision and control system which modulates the robot's behavior to achieve the desired ends. In this course we will consider the problem of how a robot decides what to do to achieve its goals.

Average: 1 (2 votes)
Sep 25th 2017

How can we create agile micro aerial vehicles that are able to operate autonomously in cluttered indoor and outdoor environments? You will gain an introduction to the mechanics of flight and the design of quadrotor flying robots and will be able to develop dynamic models, derive controllers, and synthesize planners for operating in three dimensional environments.

Average: 8.7 (3 votes)

Sep 25th 2017

How can robots use their motors and sensors to move around in an unstructured environment? You will understand how to design robot bodies and behaviors that recruit limbs and more general appendages to apply physical forces that confer reliable mobility in a complex and dynamic world. We develop an approach to composing simple dynamical abstractions that partially automate the generation of complicated sensorimotor programs.

Average: 6.2 (5 votes)
Sep 18th 2017

¿Te gustaría construir un robot y controlarlo a través de tu celular? ¡Estás en el curso indicado! Aquí podrás armar y animar un robot además de controlarlo con tu teléfono móvil, aún cuando te encuentres lejos de éste.

Average: 1 (1 vote)
Sep 18th 2017

For many years now, people have been improving their tools, studying the forces of nature and bringing them under control, using the energy of the nature to operate their machines. Last century is noted for the creation of machines which can operate other machines. Nowadays the creation of devices that interact with the physical world is available to anyone. Our course consists of a series of practical problems on making things that work independently: they make their own decisions, act, move, communicate with each other and people around, and control other devices. We will demonstrate how to assemble such devices and programme them using the Arduino platform as a basis.

Average: 7.2 (6 votes)

Sep 11th 2017

Discover the world of mobile robots - how they move, how they interact with the world, and how to build them! From the surface of Mars to your living room floor, mobile robots can be found in some surprising places. Together we’ll explore how and why. We’ll look at how robots move, how they sense the world around them and how they make decisions. Then we’ll put all this together and apply what we’ve learned to build our own mobile robot.

Average: 7 (11 votes)
Sep 11th 2017

Learn the core techniques for representing robots that perform physical tasks in the real world. We think of Robotics as the science of building devices that physically interact with their environment. The most useful robots do it precisely, powerfully, repeatedly, tirelessly, fast, or some combinations of these. The most interesting robots maybe even do it intelligently. This course will cover the fundamentals of robotics, focusing on both the mind and the body.

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Sep 11th 2017

Learn the fundamentals of Artificial Intelligence (AI), and apply them. Design intelligent agents to solve real-world problems including, search, games, machine learning, logic, and constraint satisfaction problems. What do self-driving cars, face recognition, web search, industrial robots, missile guidance, and tumor detection have in common? They are all complex real world problems being solved with applications of intelligence (AI).

Average: 8.3 (14 votes)
Sep 4th 2017

How can robots perceive the world and their own movements so that they accomplish navigation and manipulation tasks? In this module, we will study how images and videos acquired by cameras mounted on robots are transformed into representations like features and optical flow. Such 2D representations allow us then to extract 3D information about where the camera is and in which direction the robot moves. You will come to understand how grasping objects is facilitated by the computation of 3D posing of objects and navigation can be accomplished by visual odometry and landmark-based localization.

Average: 6.5 (4 votes)
Sep 4th 2017

How can robots determine their state and properties of the surrounding environment from noisy sensor measurements in time? In this module you will learn how to get robots to incorporate uncertainty into estimating and learning from a dynamic and changing world. Specific topics that will be covered include probabilistic generative models, Bayesian filtering for localization and mapping.

Average: 2.5 (4 votes)

Aug 28th 2017

How do you feel about robots? Learn how robotics is used today and explore how it might help solve the big issues of our time. Once only found in fiction, robots are being applied in an increasing array of ways in society, from mechanisation of industrial tasks to exploring places humans can’t go. This course starts with your perceptions of robotics, describes different types of robots, and leads into a discussion of the future: knowing we can use robots, should we?

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