A Modular Vision-Language-Action Robotics Framework for Indoor Environments
arXiv:2606.31144v1 Announce Type: new Abstract: This paper presents an integrated system for the CMU Vision-Language-Action (VLA) Challenge, designed to enable an autonomous agent to perform complex tasks based on natural language instructions. Our framework employs a modular architecture that orchestrates environment mapping, question processing, and navigation. The system operates in two parallel streams: a perception pipeline that constructs a semantic voxel map from real-time camera feeds us...
arXiv cs.RO
·Anindya Jana, Snehasis Banerjee, Arup Sadhu, Ranjan Dasgupta
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