Related Experiment Video
Updated: Jun 26, 2026

Investigating Motor Skill Learning Processes with a Robotic Manipulandum
Published on: February 12, 2017
Toward next-generation learned robot manipulation
1Department of Computer Science and Engineering, Lehigh University, Bethlehem, PA 18015, USA. jic519@lehigh.edu.
Abstract:
The ever-changing nature of human environments presents great challenges to robot manipulation. Objects that robots must manipulate vary in shape, weight, and configuration. Important properties of the robot, such as surface friction and motor torque constants, also vary over time. Before robot manipulators can work gracefully in homes and businesses, they must be adaptive to such variations. This survey summarizes types of variations that robots may encounter in human environments and categorizes, compares, and contrasts the ways in which learning has been applied to manipulation problems through the lens of adaptability. Promising avenues for future research are proposed at the end.
Related Concept Videos
Three-Dimensional Force System:Problem Solving
To solve a three-dimensional force system, first resolve each force into its respective scalar components. Do this using...
Machines: Problem Solving II
Hierarchy of Motor Control
Torque Free Motion
Purposive Learning
Observational Learning

