Cornell University, Spring 2022
Instructor: Tapomayukh Bhattacharjee
Lecture: TuTh 1:00-2:15PM, Office Hours: See Ed
Credits: 4. Letter grades only.
Robot manipulation is the ability for a robot to interact physically with objects in the world and manipulate them towards completing a task. It is one of the greatest technical challenges in robotics, due primarily to the interplay of uncertainty about the world and clutter within it. As robots become integrated into complex human environments, robot manipulation is increasingly necessary to assist humans in these unstructured environments. Robotic manipulation will enable applications like personal assistant robots in the home and factory worker robots in advanced manufacturing. This course covers the fundamental theory, concepts, and systems of robot manipulation, including both software and hardware.
Topics we will cover this semester include perception, state estimation, robot arm kinematics and dynamics, task and motion planning, machine learning, controls, human-robot interaction towards various robot manipulation tasks. The course features a semester-long group project in which students propose, formalize, and execute a working robotic manipulation system towards a real-world task. The scope of possible components is quite broad and extends beyond traditional robotics issues into other aspects of CS.
This course is offered to prepare a student for Ph.D. research in robot manipulation.
Note that this course counts as the AI area with either the systems or applied research style for the CS Ph.D. breadth requirement.
Tapomayukh (Tapo) Bhattacharjee
Tapo wants to enable robots to assist people with mobility limitations with activities of daily living. He believes that efficient and safe physical and social interactions between robots and their immediate environments is the key. His work spans the fields of human-robot interaction, haptic perception, and robot manipulation.