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2.680-marine-vehicle-autonomy

This course covers basic topics in autonomous marine vehicles, focusing mainly on software and algorithms for autonomous decision making (autonomy) by underwater vehicles operating in the ocean environments, autonomously adapting to the environment for improved sensing performance. It will introduce students to underwater acoustic communication environment, as well as the various options for undersea navigation, both crucial to the operation of collaborative undersea networks for environmental sensing. Sensors for acoustic, biological and chemical sensing by underwater vehicles and their integration with the autonomy system for environmentally adaptive undersea mapping and observation will be covered. The subject will have a significant lab component, involving the use of the MOOS-IvP autonomy software infrastructure for developing integrated sensing, modeling and control solutions for a variety of ocean observation problems, using simulation environments and a field testbed with small autonomous surface craft and underwater vehicles operated on the Charles River.

anymal_c_simple_description

Simplified robot description of the ANYmal C quadrupedal robot.

dolly

🤖🐑 It's a sheep, it's a dolly, it's a following robot. Dolly was born to be cloned.

greek-symbols

Greek symbols plugin for IntelliJ IDEA

ho-ml

Examples worked on while going through the book: Hands-On Machine Learning with Scikit-Learn and Tensorflow by Aurelien Geron

iris-distro

Iterative Regional Inflation by SDP

kindr

Kinematics and Dynamics for Robotics

kinematic-motion-planning

Motion planning framework for legged robots utilizing kinematic properties to formulate a optimization problem.

moos-ivp-pathorse

moos-ivp-pt

ob_colav_usvs

ttk4115-linear-system-theory

ttk4145-real-time-programming

ttk4190-guidance-and-control-of-vehicles

ttk4235-embedded-systems