For teams of humans and mobile robots to work together, several challenges must be overcome, including understanding each others’ position, merging map information, sharing recognition of salient features of the environment, and establishing contextually-grounded communication. These challenges are further compounded for teams operating in field environments, which are unconstrained, uninstrumented, and unknown. While most modern studies that use augmented reality (AR) in human-robot teaming side-step these challenges by focusing on problems addressable in instrumented environments, we argue that current AR technology combined with novel approaches can enable successful teaming in such challenging, real-world settings. To support this, we present a set of prototypes that combine AR with an intelligent, autonomous robot to enable better human-robot teaming in field environments.
CITATION STYLE
Reardon, C., Lee, K., Rogers, J. G., & Fink, J. (2019). Augmented Reality for Human-Robot Teaming in Field Environments. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11575 LNCS, pp. 79–92). Springer Verlag. https://doi.org/10.1007/978-3-030-21565-1_6
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