Title
Online Active Safety for Robotic Manipulators
Abstract
Future manufacturing environments will see an increased need for cooperation between humans and machines. In this paper we propose a method that allows industrial manipulators to safely operate around humans. This approach guarantees that the manipulator will never collide with human operators while performing its normal tasks. This is done in an near-optimal way by considering how forward reachable sets of human operators grow with time, and by continuously updating these reachable sets based on current position estimates of the operators near the robot. An implicit active set invariance filter is then used to constrain the system-in a minimally invasive way-to stay in the complement of that forward reachable set. We demonstrate this approach in simulation on an industrial robotic arm: the ABB IRB 6640.
Year
DOI
Venue
2019
10.1109/IROS40897.2019.8968231
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Keywords
Field
DocType
robotic manipulators,future manufacturing environments,industrial manipulators,reachable sets,implicit active set invariance filter,industrial robotic arm,online active safety
Robotic arm,Invariant (physics),Computer science,Manipulator,Control engineering,Operator (computer programming),Robot manipulator,Robot,Active safety
Conference
ISSN
ISBN
Citations 
2153-0858
978-1-7281-4005-6
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Andrew Singletary121.74
Petter Nilsson2618.80
Thomas Gurriet373.26
Aaron D. Ames41202136.68