• No results found

Programming by Demonstration of Robot Manipulators

N/A
N/A
Protected

Academic year: 2021

Share "Programming by Demonstration of Robot Manipulators"

Copied!
1
0
0

Loading.... (view fulltext now)

Full text

(1)

A

le

x

a

n

d

er S

ko

g

lu

n

d

Pr

og

ra

m

m

in

g b

y D

em

on

str

ati

on o

f R

ob

ot M

an

ip

ula

to

rs

A

le

x

a

n

d

er S

ko

g

lu

n

d

Pr

og

ra

m

m

in

g b

y D

em

on

str

ati

on o

f R

ob

ot M

an

ip

ula

to

rs

2009 issn 1650-8580 isbn 978-91-7668-669-0

Alexander Skoglund has been a graduate student at the Center for Applied Autonomous Sensor Systems (AASS), Örebro University, Sweden. His research interests in-clude Programming-by-Demonstration, learning systems, human-machine interfaces, and humanlike motions. Pro-gramming a robot usually requires a robot programmer. A new program is written for every new task the robot may encounter. It would be beneficial if a non-programmer could instruct the robot simply by showing it what to do and how to do it. This thesis investigates some problems associated with the transfer of skills from a human to a robot. A robot manipulator with a morphology which is very different from the human arm simply cannot copy a human motion, but has to execute its own version of the task. When a task once has been demonstrated to the robot it must also be able to generalize this knowledge to other similar tasks, without a new learning process.

This thesis contributes to the field of Programming-by-Demonstration in the application of Takagi-Sugeno fuzzy modeling for trajectory modeling, a next-state-planner for trajectory generation, and how to use the notion of hand-states in this context.

Örebro Studies in Technology 34 örebro 2009

Doctoral Dissertation

Programming by Demonstration of Robot Manipulators

Alexander Skoglund Technology ÖREBRO STUDIES IN TEchNOlOgy 34

References

Related documents

This thesis explores the potential of utilizing probabilistic programming for generic topic modeling using Stochastic Expectation Maximization with numerical maxi- mization of

Figure 2.13: Membership functions of the dependent variable “quality of RMS” Therefore, the rule-based table can be obtained.. And the result is sketched in Fig. And

Decision trees, which is one of the most popular techniques in the data mining community, can, for example, only be used to induce tree structured models using a predefined score

Traditional predictive modeling techniques are most often optimized using a local greedy strategy and are tied to specific representations and optimization criteria, leading

Avhandling för teknologie doktorsexamen i datavetenskap, som kommer att försvaras offentligt. tisdagen den 11 mars

The demonstration can be performed in several ways, by manually guiding the robot, by teleoperating it with a remote control or by a demonstrator performing the task without

Moti- vated by the trend of developing light-weight robots, a new model, here called the extended flexible joint model, is proposed for use in motion control systems as well as in

In Paper I in-situ wide angle X-ray scattering and phase field modeling were used to study the strain evolution on composition during decomposition of TiAlN.. The TiAlN thin