2017/09/15 by Jakob Suchan, Suchan, Jakob, Mehul Bhatt +1 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Robotics (cs.RO) #cs.AI #cs.CV #cs.RO
paper · pdf · doi:10.48550/arxiv.1709.05293
to appear in: ICCV 2017 Workshop - Vision in Practice on Autonomous Robots (ViPAR), International Conference on Computer Vision (ICCV), Venice, Italy
arxiv created 2017/09/15 · arxiv updated 2017/09/18
We present a commonsense, qualitative model for the semantic grounding of embodied visuo-spatial and locomotive interactions. The key contribution is an integrative methodology combining low-level visual processing with high-level, human-centred representations of space and motion rooted in artificial intelligence. We demonstrate practical applicability with examples involving object interactions, and indoor movement.