Robotic Control
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Similarity between C++ & Java: - syntax - variable types - operators - control structures
Stanford / Computer Science

Similarity between C++ & Java: - syntax - variable types - operators - control structures, Looking at an Example C++ code: - comment, #include Statements, Global Declarations (constant), Declaring a Function Prototype, The main() Function, Decomposed Function Definition, Example Live Coding: To Calculate the Average, for loop - a while : Another Purpose of the Same Code, C++ User Defined Data Types: -enums -records, C++ Parameters...more
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With consumer participation through user-generated content, blogs, real time feedback, self-promotion and web-based access, Roberts points out that a new form of marketing, viral marketing, is emerging. Viral marketing reflects a shift in power from traditional manufacturers to consumers who can now control the brand image of the product and troubleshoot on their own.
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Prior to the Demographic Transition, fertility in northwestern Europe was controlled by limiting marriage. Marriage was regulated by landowners and the churches, and was not allowed unless a man had accumulated the resources necessary to support a family. Long periods of being landless, a servant, or an apprentice, precluded marriage. Once married, there was no control of fertility. But, only about half of adults were married at any given...more
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Course Overview, History of Robotics Video, Robotics Applications, Related Stanford Robotics Courses, Lecture and Reading Schedule, Manipulator Kinematics, Manipulator Dynamics, Manipulator Control, Manipulator Force Control, Advanced Topics
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Jung talks about one of the biggest challenges in the growth phase of a startup. Releasing and disseminating control is very essential for scaling companies. He explains this fact in detail and illustrates its importance from his personal experience.
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Decomposition Applications, Rate Control Setup, Rate Control Problem, Rate Control Lagrangian, Aside: Utility Functions, Rate Control Dual, Dual Decomposition Rate Control Algorithm, Generating Feasible Flows, Convergence Of Primal And Dual Objectives, Maximum Capacity Violation, Single Commodity Network Flow Setup, Network Flow Problem, Network Flow Lagrangian, Network Flow Dual, Recovering Primal From Dual, Dual Decomposition Network...more
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Yock discusses the future of minimally invasive robotic surgery. He says it is very exciting and Stanford actually has a lot of expertise in this area.
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Compliance, Force Control, Dynamics, Task Description, Historical Robotics, Stanford Human-Safe Robot, Task Posture and Control, Multi-Contact Whole-Body Control
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Model Predictive Control, Linear Time-Invariant Convex Optimal Control, Greedy Control, 'Solution' Via Dynamic Programming, Linear Quadratic Regulator, Finite Horizon Approximation, Cost Versus Horizon, Trajectories, Model Predictive Control (MPC), MPC Performance Versus Horizon, MPC Trajectories, Variations On MPC, Explicit MPC, MPC Problem Structure, Fast MPC, Supply Chain Management, Constraints And Objective, MPC And Optimal...more
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Manipulator Control, PD Control Stability, Task Oriented Control, Task Oriented Equations of Motion, Operational Space Dynamics, Example, Nonlinear Dynamic Decoupling, Trajectory Tracking
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Stochastic Model Predictive Control, Causal State-Feedback Control, Stochastic Finite Horizon Control, 'Solution' Via Dynamic Programming, Independent Process Noise, Linear Quadratic Stochastic Control, Certainty Equivalent Model Predictive Control, Stochastic MPC: Sample Trajectory, Cost Histogram, Simple Lower Bound For Quadratic Stochastic Control, Branch And Bound Methods, Methods For Nonconvex Optimization Problems, Branch And Bound...more
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Control - Overview, Joint Space Control, Resolved Motion Rate Control, Natural Systems, Dissipative Systems, Example, Passive System Stability



