Author

A. Patel

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Preprint Oct 2026

Inspect Robots: Evaluating the Capabilities and Safety of Embodied AI

General purpose language models are increasingly able to control robotic hardware. Understanding the capabilities and safety of these models when embodied is therefore increasingly important for understanding their societal impact and risks. To this end, we introduce Inspect Robots, a modular, open-source framework for...

Christopher Leet, Achu Menon, Sravanthi Machcha et al. · 0 citations

Open access Aug 2026

Enhanced Helmet Detection with YOLOv8: A Deep Learning Model for Boosting Road Safety

An existing system for helmet use detection is improved by using the latest object detection model, YOLOv8, for real time helmet detection on motorcyclists, achieving high accuracy and mAP, and therefore enabling automatic helmet law enforcement.

Poojan Panchal, A. Patel, Dhara Ashish Darji · University journal of resear... · 0 citations

#artificial intelligence Preprint Sep 2026

Mini-Batch Risk-Averse Deep Q-Learning: A Robot Navigation Case Study

This work studies the control of Markov decision processes in which the quality of a policy is evaluated by a dynamic, time-consistent Markov risk measure rather than by an expected discounted cost, and employs mini-batch transition risk mappings.

A. Patel, Andrzej Ruszczyński · 0 citations