Yogita Choudhary — accepted AI-conference papers

2025

Model-Free Safety Filter for Soft Robots: A Q-Learning Approach

Guo Ning Sue, Yogita Choudhary, Richard Desatnik, Carmel Majidi, John M. Dolan, Guanya Shi

ICRA 2025

Ensuring safety via safety filters in real-world robotics presents significant challenges, particularly when the system dynamics is complex or unavailable. To handle this issue, learning-based safety filters recently gained popularity, which can be classified as model-based and model-free methods. E

Cited by 0 Source ↗Scholar ↗

2025

Self-Supervised Meta-Learning for All-Layer DNN-Based Adaptive Control with Stability Guarantees

Guanqi He, Yogita Choudhary, Guanya Shi

ICRA 2025

A critical goal of adaptive control is enabling robots to rapidly adapt in dynamic environments. Recent studies have developed a meta-learning-based adaptive control scheme, which uses meta-learning to extract nonlinear features (represented by Deep Neural Networks (DNNs)) from offline data, and use

Cited by 6 Source ↗Scholar ↗