Mikkel Rath Pedersen

ORCID: 0000-0003-3026-7315
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About
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Research Areas
  • Robot Manipulation and Learning
  • Robotics and Automated Systems
  • Flexible and Reconfigurable Manufacturing Systems
  • Robotic Path Planning Algorithms
  • AI-based Problem Solving and Planning
  • Modular Robots and Swarm Intelligence
  • Robotic Mechanisms and Dynamics
  • Hand Gesture Recognition Systems
  • Manufacturing Process and Optimization
  • Robotics and Sensor-Based Localization
  • Social Robot Interaction and HRI
  • Digital Transformation in Industry
  • Industrial Vision Systems and Defect Detection
  • Advanced Manufacturing and Logistics Optimization
  • Scheduling and Optimization Algorithms

Aalborg University
2012-2016

Purpose – The purpose of this study has been to evaluate the technology autonomous mobile manipulation in a real world industrial manufacturing environment. objective obtain experience integration with existing equipment and determine key challenges maturing level readiness suitable for industry. Despite much research within topic manipulation, not yet found its way To mature industry real-world is crucial. This paper reports from such experiment two manipulators. Design/methodology/approach...

10.1108/ir-09-2014-0390 article EN Industrial Robot the international journal of robotics research and application 2015-01-14

Cognitive robots, able to adapt their actions based on sensory information and the management of uncertainty, have begun find way into manufacturing settings. However, full potential these robots has not been fully exploited, largely due lack vertical integration with existing IT infrastructures, such as execution system (MES), part a large-scale cyber-physical entity. This paper reports considerations findings from research project STAMINA that is developing cognitive applying it concrete...

10.1109/jproc.2016.2521731 article EN Proceedings of the IEEE 2016-03-24

In order for manufacturing companies to remain competitive while also offering a high degree of customization the customers, flexible robots that can be rapidly reprogrammed new tasks need applied in factories. this paper we propose method intuitive programming an industrial mobile robot by combining skills, graphical user interface and human gesture recognition. We give brief introduction skills as envision them programming, how they are used system. then describe tracking recognition,...

10.1109/iros.2014.6943203 article EN 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems 2014-09-01

The automation of kitting tasks-collecting a set parts for one particular car into kit-has huge impact in the automotive industry. It considerably increases levels tasks typically conducted by human workers. Collecting involves picking up objects from pallets and bins as well placing them respective compartments box. In this paper, we present complete system automated with mobile manipulator thereby focusing on depalletizing placing. order to allow low cycle times, particularly efficient...

10.1109/etfa.2015.7301453 article EN 2015-09-01

Mobile robots that have the ability to cooperate with humans are able provide new possibilities manufacturing industries. In this paper, we discuss our mobile robot arm can a) assistance at different locations in a factory and b) be programmed using complex human actions such as pointing Take object. We use of for feeding scenario where operator specifies parts feeders through gestures. The system is partially built generic robotic skills. Through extensive experiments, evaluate aspects system.

10.1109/icma.2012.6282849 article EN 2012-08-01
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