Michael Arndt
Papers
8
Total Citations
48
H-Index
4
About
Michael Arndt is a robotics researcher whose work centers on the intersection of mobile robotics and smart environments, with a particular focus on improving robot navigation, interoperability, and system integration. His major contributions include demonstrating how ambient sensor networks can significantly enhance mobile robot navigation through probabilistic people tracking, as shown in his 2012 work on optimized indoor robot navigation (11 citations). Arndt has also advanced the field by developing methods to seamlessly extend robot control frameworks to bare metal embedded nodes (2014, 6 citations), addressing a critical gap between powerful computing platforms and embedded systems. His research on framework design principles for networked robotics and requirements for interoperability between different robotic architectures (2013) has helped establish foundations for more cohesive robotic systems. With a total of 48 citations across his most-cited works, Arndt's research has particular relevance for creating safer, more predictive mobile robot navigation in aware environments, as demonstrated in his 2015 work on safe predictive navigation (2 citations). His systematic approach to bridging the gap between smart environments and autonomous robots has contributed to the practical deployment of more intelligent and context-aware robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Mobile Robots in Smart Environments: The Current Situation8 citations · 2012
- 4
- 5
- 6Principles in Framework Design applied in Networked Robotics3 citations · 2013
- 7Safe Predictive Mobile Robot Navigation in Aware Environments2 citations · 2015
- 8