Networked Optimization, Diagnosis and Estimation LAB

Recent publications

SAP-CoPE: Social-Aware Planning using Cooperative Pose Estimation with Infrastructure Sensor Nodes
Minghao Ning, Yufeng Yang, Shucheng Huang, Jiaming Zhong, Keqi Shu, Chen Sun, Ehsan Hashemi, Amir Khajepour IEEE Transactions on Industrial Electronics (on review), 2025. [doi]
Interaction-aware motion planning and control based on game theory with human-in-the-loop validation
Mohamed-Khalil Bouzidi, Ehsan Hashemi Robotics and Autonomous Systems, 2025. [doi]
Adaptive and soft constrained vision-map vehicle localization using Gaussian processes and instance segmentation
Bruno Henrique Groenner Barbosa, Neel Pratik Bhatt, Amir Khajepour, Ehsan Hashemi Expert Systems with Applications, 264, 2025. [doi]
Visual-Inertial-Wheel Odometry with Slip Compensation and Dynamic Feature Elimination
Niraj Reginald, Omar Al-Buraiki, Thanacha Choopojcharoen, Baris Fidan, Ehsan Hashemi Sensors (Basel, Switzerland), 25, 2025. [doi]
Interaction-Aware Model Predictive Decision-Making for Socially-Compliant Autonomous Driving in Mixed Urban Traffic Scenarios
Balint Varga, Thomas Brand, Marcus Schmitz, Ehsan Hashemi, ArXiV (preprint), 2025. [doi]

About us

The Networked Optimization, Diagnosis, and Estimation (NODE) Lab’s research programs aim to advance safe decision-making and motion planning for cyber-physical systems and shared human-autonomy controls, with a focus on intelligent and cooperative systems in unstructured and dynamic environments. This is achieved through fundamental research in augmented perception, networked control systems, safe reinforcement learning, and physics-informed machine learning. Within its translational and interdisciplinary research programs, the NODE lab has had knowledge development and technology transfer to various industries, including robotics, assistive technologies, intelligent transportation, and autonomous systems.