Human AugmentatioN via Dexterity

Revolutionizing Robot Dexterity and Empowering Human Work

Defining Dexterous Skills

Defining Dexterous Skills will develop a general framework for representing dexterous robot manipulation skills. We will identify common components of skills and how they incorporate different sensor modalities as inputs. We will explore how human input can be used to adapt skills, and how skills can be combined into a hierarchy to accomplish complex tasks. The framework will allow us to analyze and compare different types of skills, and it will form the basis for our dexterous skill library.

Project Lead

Oliver Kroemer

Oliver Kroemer

Carnegie Mellon University

Project Team

Gary Fedder

Gary Fedder

Co-lead, TB2-Assembly

Carnegie Mellon University

Rebecca Friesen

Rebecca Friesen

Texas A&M University

Roberta Klatzky

Roberta Klatzky

Carnegie Mellon University

Kevin Lynch

Kevin Lynch

Northwestern University

Melisa Orta-Martinez

Melisa Orta-Martinez

Carnegie Mellon University

Julie Shah

Julie Shah

Massachusetts Institute of Technology

Collage of robot hands holding items.

The picture shows a variety of example manipulation skills from previous works that we aim to capture using a unified skill framework.