TY - JOUR
T1 - Extending an Industrial Robot Controller-Implementation and Applications of a Fast Open Sensor Interface
AU - Blomdell, Anders
AU - Bolmsjö, Gunnar
AU - Brogårdh, Torgny
AU - Cederberg, Per
AU - Isaksson, Mats
AU - Johansson, Rolf
AU - Haage, Mathias
AU - Nilsson, Klas
AU - Olsson, Magnus
AU - Olsson, Tomas
AU - Robertsson, Anders
AU - Wang, Jianjun
N1 - The information about affiliations in this record was updated in December 2015.
The record was previously connected to the following departments: Robotics (ceased) (LUR000026), Computer Science (011014004), Department of Automatic Control (011017000), Departments at LTH (011200000)
PY - 2005
Y1 - 2005
N2 - Many promising robotics research results were obtained during the late 1970s and early 1980s. Some examples include Cartesian force control and advanced motion planning. Now, 20 years and many research projects later, many technologies still have not reached industrial usage. An important question to consider is how this situation can be improved for future deployment of necessary technologies. Today, modern robot control systems used in industry provide highly optimized motion control that works well in a variety of standard applications. To this end, computationally intensive, model-based robot motion control techniques have become standard during the last decade. While the principles employed have been known for many years, deployment in products required affordable computing power, efficientengineering tools, customer needs for productivity/performance, and improved end-user competence in the utilization of performance features. However, applications that are considered nonstandard today motivate a variety of research efforts and system development to package results in a usable form. Actually, robots are not useful for many manufacturing tasks today, in particular those found in small and medium enterprises (SMEs). Reasonsinclude complex configuration, nonintuitive (for the shop floor) programming, and difficulties instructing robots to deal with variations in their environment. The latter challenge includes both task definitions and definition of motion control utilizing external sensors. The key word here is flexibility, and flexible motion control is particularly difficult since the user or system integrator needs to influence the core real-time software functions that are critical for the performance and safe operation of the system. We must find techniques that permit real-time motion controllers to be extended for new, demanding application areas.
AB - Many promising robotics research results were obtained during the late 1970s and early 1980s. Some examples include Cartesian force control and advanced motion planning. Now, 20 years and many research projects later, many technologies still have not reached industrial usage. An important question to consider is how this situation can be improved for future deployment of necessary technologies. Today, modern robot control systems used in industry provide highly optimized motion control that works well in a variety of standard applications. To this end, computationally intensive, model-based robot motion control techniques have become standard during the last decade. While the principles employed have been known for many years, deployment in products required affordable computing power, efficientengineering tools, customer needs for productivity/performance, and improved end-user competence in the utilization of performance features. However, applications that are considered nonstandard today motivate a variety of research efforts and system development to package results in a usable form. Actually, robots are not useful for many manufacturing tasks today, in particular those found in small and medium enterprises (SMEs). Reasonsinclude complex configuration, nonintuitive (for the shop floor) programming, and difficulties instructing robots to deal with variations in their environment. The latter challenge includes both task definitions and definition of motion control utilizing external sensors. The key word here is flexibility, and flexible motion control is particularly difficult since the user or system integrator needs to influence the core real-time software functions that are critical for the performance and safe operation of the system. We must find techniques that permit real-time motion controllers to be extended for new, demanding application areas.
KW - flexible motion control
KW - sensor interfaces
KW - sensorbased control
KW - industrial robots
KW - Open robot control
KW - force control
U2 - 10.1109/MRA.2005.1511872
DO - 10.1109/MRA.2005.1511872
M3 - Article
SN - 1070-9932
VL - 12
SP - 85
EP - 94
JO - IEEE Robotics and Automation Magazine
JF - IEEE Robotics and Automation Magazine
IS - 3
ER -