Related Experiment Video
Updated: May 4, 2026

Investigating Motor Skill Learning Processes with a Robotic Manipulandum
Published on: February 12, 2017
In good hands: A case for improving robotic dexterity
1Aude G. Billard is a full professor in the LASA laboratory at the Institutes of Electrical and Micro and Mechanical Engineering, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
Abstract:
Twenty-first-century roboticists envision robots capable of sorting objects and packaging them, of chopping vegetables and folding clothes. But although many today believe that the only factors necessary for robots to achieve dexterous manipulation are data and artificial intelligence (AI), managing all the mundane manipulations that humans perform daily requires constant adaptation to changing conditions. These operations include tasks demanding millisecond-level responses to prevent irreparable damage, such as quickly stabilizing a slipping package or halting a knife just before it cuts into a table. Although recent advances in intelligent robot control have considerably expanded-and will continue to expand-the range and complexity of tasks that robots can perform, AI, data, and control theory alone are not enough. A brain cannot manipulate items effectively without a body-and specifically hands-suited to the task.
More Related Videos
06:44Development of a Novel Task-oriented Rehabilitation Program using a Bimanual Exoskeleton Robotic Hand
Published on: May 20, 2020
04:49Author Spotlight: Enhancing Post-Stroke Upper Limb Rehabilitation with Robotic Technologies for Improved Motor Recovery and Functional Outcomes
Published on: September 6, 2024
Related Concept Videos
Machines: Problem Solving II
Mechanical Systems