Approaching Manual Intelligence
| dc.contributor.author | Maycock, Jonathan | |
| dc.contributor.author | Dornbusch, Daniel | |
| dc.contributor.author | Elbrechter, Christof | |
| dc.contributor.author | Haschke, Robert | |
| dc.contributor.author | Schack, Thomas | |
| dc.contributor.author | Ritter, Helge | |
| dc.date.accessioned | 2018-01-08T09:14:41Z | |
| dc.date.available | 2018-01-08T09:14:41Z | |
| dc.date.issued | 2010 | |
| dc.description.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. | |
| dc.identifier.pissn | 1610-1987 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/11170 | |
| dc.publisher | Springer | |
| dc.relation.ispartof | KI - Künstliche Intelligenz: Vol. 24, No. 4 | |
| dc.relation.ispartofseries | KI - Künstliche Intelligenz | |
| dc.title | Approaching Manual Intelligence | |
| dc.type | Text/Journal Article | |
| gi.citation.endPage | 294 | |
| gi.citation.startPage | 287 |