• Game theory: 

--- Pursuit-Evasion and Target-Defense Differential Games

--- Games with Limited Information using Graph Theory

--- Integration of Machine Learning Techniques in Game Theory

--- Evolutionary Game Theory

• Control & Optimization: 

--- Algorithms for Cooperation and Conflict among robots 

--- Optimal Control Theory & Optimization Techniques: IP/LP/MILP/Non-linear Optimization 

--- Multi-agent Path Finding & Fleet Management in a Warehouses

• S. K. Singh and P. V. Reddy. Dynamic network analysis of a target defense differential game with limited observations, IEEE Transactions on Control of Network Systems, 2023, doi: 10.1109/TCNS.2022.3203358.

• S. K. Singh, P. V. Reddy and B. Vundurthy. Study of multiple target defense differential games using receding horizon based switching strategies, IEEE Transactions on Control Systems Technology, 2022, doi:10.1109/TCST.2021.3104857.

• S. K. Singh, P. V. Reddy and K. Sridharan. Analysing interactions between a trio of differential drive robots via a differential game formulation, IEEE American Control Conference (ACC 2019), pp. 4274-4279, doi: 10.23919/ACC.2019.8814828. 

• S. K. Singh, Hemantharaj M,  Sayantani Bhattacharya, Manish jha, Conflict-Free Node-To-Robot Scheduling for Lifelong Operation in a Warehouse with Narrow-Corridor Environment,  IEEE Conference on Decision and Control (CDC 2023), pp. 6382-6387, doi: 10.1109/CDC49753.2023.10384309. 

• "Efficient Fleet Management in E-commerce Warehouses: MILP-Based Optimization for Battery-Operated Robots", YFRSG Scheme Project, IIT Indore, Role- Principle Investigator, [Duration: Feb 2024 - Feb 2026].