3 citations · 4 across the 3 of their papers we have counts for
4 papers
LiteVLA-H: Dual-Rate Vision-Language-Action Inference for Onboard Aerial Guidance and Semantic Perception
Justin williams, Kishor Datta Gupta, Roy George +1
Vision-language-action (VLA) models have shown strong semantic grounding and task generalization in manipulation, but aerial deployment remains difficult because drones require low…
LiteVLA-Edge: Quantized On-Device Multimodal Control for Embedded Robotics
Justin Williams, Kishor Datta Gupta, Roy George +1
Vision-Language-Action (VLA) models provide a unified framework for perception, language conditioning, and action generation, but many existing systems remain difficult to deploy i…
Lite VLA: Efficient Vision-Language-Action Control on CPU-Bound Edge Robots
Justin Williams, Kishor Datta Gupta, Roy George +1
The deployment of artificial intelligence models at the edge is increasingly critical for autonomous robots operating in GPS-denied environments where local, resource-efficient rea…
Advanced Tool Learning and Selection System (ATLASS): A Closed-Loop Framework Using LLM
Mohd Ariful Haque, Justin Williams, Sunzida Siddique +4
The combination of LLM agents with external tools enables models to solve complex tasks beyond their knowledge base. Human-designed tools are inflexible and restricted to solutions…