TY - GEN
T1 - Integration of Autonomous Task Planning into Reconfigurable Skill-Based Industrial Robots
AU - Heuss, Lisa
AU - Reinhart, Gunther
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/9
Y1 - 2020/9
N2 - The application of industrial robots can help companies to achieve competitive advantages. Therefore, industrial robots need to be able to complete a wide variety of tasks at short notice in today's highly customized and dynamic production environment. However, this is contrary to the current situation. Configuring and programming robots is a challenging and time-consuming task. In this paper, we present our approach to integrating autonomous task planning into reconfigurable skill-based industrial robots. As a result, robots will coordinate their diverse tasks autonomously, and thus take the challenging and time-consuming job of robot programming away from the user.
AB - The application of industrial robots can help companies to achieve competitive advantages. Therefore, industrial robots need to be able to complete a wide variety of tasks at short notice in today's highly customized and dynamic production environment. However, this is contrary to the current situation. Configuring and programming robots is a challenging and time-consuming task. In this paper, we present our approach to integrating autonomous task planning into reconfigurable skill-based industrial robots. As a result, robots will coordinate their diverse tasks autonomously, and thus take the challenging and time-consuming job of robot programming away from the user.
KW - artificial intelligence
KW - autonomous robot
KW - production
KW - reconfigurability
KW - skills
KW - task planning
UR - http://www.scopus.com/inward/record.url?scp=85093358791&partnerID=8YFLogxK
U2 - 10.1109/ETFA46521.2020.9212005
DO - 10.1109/ETFA46521.2020.9212005
M3 - Conference contribution
AN - SCOPUS:85093358791
T3 - IEEE International Conference on Emerging Technologies and Factory Automation, ETFA
SP - 1293
EP - 1296
BT - Proceedings - 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 25th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2020
Y2 - 8 September 2020 through 11 September 2020
ER -