Name
Abstract | ||
|---|---|---|
Grasping and manual interaction for robots so far has largely been approached with an emphasis on physics and control aspects.
Given the richness of human manual interaction, we argue for the consideration of the wider field of “manual intelligence”
as a perspective for manual action research that brings the cognitive nature of human manual skills to the foreground. We
briefly sketch part of a research agenda along these lines, argue for the creation of a manual interaction database as an
important cornerstone of such an agenda, and describe the manual interaction lab recently set up at CITEC to realize this
goal and to connect the efforts of robotics and cognitive science researchers towards making progress for a more integrated
understanding of manual intelligence. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/s13218-010-0064-9 | KI |
Keywords | Field | DocType |
action research,cognitive science | Computer science,Human–computer interaction,Action research,Artificial intelligence,Cognition,Robot,Cornerstone,Machine learning,Robotics,Management science,Control aspects,Sketch | Journal |
Volume | Issue | ISSN |
24 | 4 | 1610-1987 |
Citations | PageRank | References |
6 | 0.77 | 11 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jonathan Maycock | 1 | 60 | 5.01 |
| Daniel Dornbusch | 2 | 19 | 2.51 |
| Christof Elbrechter | 3 | 49 | 3.93 |
| Robert Haschke | 4 | 301 | 32.67 |
| Thomas Schack | 5 | 33 | 7.51 |
| Helge Ritter | 6 | 2020 | 415.97 |