This course covers the concepts, techniques, algorithms, and state-of-the-art approaches for robot localization, mapping, and planning. The course starts from basic concepts in 2D kinematics and probability and then introduces probabilistic approaches for data fusion. Then, the course introduces the trajectory planning problem in the time domain and free space. The motion planning problem is defined in a canonical version of the problem and the concept of configuration space is introduced. A selection of representative planning techniques is covered from probabilistic to heuristic techniques. Finally, some mapping representations and algorithms are presented. | Prerequisite: CS-UY 1114 and MA-UY 2034 and PH-UY 1013 or equivalents (see Minor in Robotics)
In this course, the theoretical bases and applications, of haptics technologies with a particular focus on medical applications (specifically surgical, and neurorehabilitative) are taught. Basic technological aspects, such as instrumentation, actuation, control and mechanisms, are introduced. Also, some theoretical aspects related to telerobotic systems are discussed. Students are expected to have basic knowledge of programming. As part of this course, students will participate in experimental and simulation labs to acquire hands-on expertise in haptics implementation and programming. | Prerequisite: CS-UY 1114 and MA-UY 2034 and PH-UY 1013 or equivalents (see Minor in Robotics)
A site for IMA NY Students to find equivalent courses outside of IMA NY
For most students joining IMA in Fall 2022 and beyond, there is a new program structure that affects the categorization of courses on this site:
Any class in any IMA major elective category (ie "Art & Design") refers to the IMA program structure previous to those entering in Fall 2022. If you are in the class of 2026 (most entering Fall 2022 or later), any course in an IMA elective category are generic IMA electives in the new structure.