On using emotions in decision-making by situated robots. - Shashi Shekhar Jha; Shrinivasa Naika C. L.; Vibhor Nikhra; Shivashankar B. Nair (HIS, 2012)

On Rendering Emotions on a Robotic Face. - Sourabh Prajapati; Shrinivasa Naika C. L.; Shashi Shekhar Jha; Shivashankar B. Nair (AIR, 2013)

Autonomous Mobile Robot Navigation using Artificial Immune System. - Kunal Shrivastava; Shashi Shekhar Jha; Shivashankar B. Nair (AIR, 2013)

On Emulating Real-World Distributed Intelligence Using Mobile Agent Based Localized Idiotypic Networks. - Shashi Shekhar Jha; Kunal Shrivastava; Shivashankar B. Nair (MIKE, 2013)

Driving Robots Using Emotions. - Shashi Shekhar Jha; Shrinivasa Naika C. L.; Shivashankar B. Nair (Trans. Comput. Sci., 2013)

Orchestrating the Sequential Execution of Tasks by a Heterogeneous Set of Asynchronous Mobile Agents. - Shashi Shekhar Jha; Shivashankar B. Nair (MATES, 2014)

A mobile agent based autonomous partial green corridor discovery and maintenance mechanism for emergency services amidst urban traffic. - Manoj Bode; Shashi Shekhar Jha; Shivashankar B. Nair (Urb-IoT, 2014)

Stigmergy-Based Synchronization of a sequence of Tasks in a Network of Asynchronous Nodes. - Shashi Shekhar Jha; W. Wilfred Godfrey; Shivashankar B. Nair (Cybern. Syst., 2014)

On Stigmergically Controlling a Population of Heterogeneous Mobile Agents Using Cloning Resource. - W. Wilfred Godfrey; Shashi Shekhar Jha; Shivashankar B. Nair (Trans. Comput. Collect. Intell., 2014)

Tartarus: a multi-agent platform for integrating cyber-physical systems and robots. - Tushar Semwal; Manoj Bode; Vivek Singh; Shashi Shekhar Jha; Shivashankar B. Nair (AIR, 2015)

On Movement of Emergency Services amidst Urban Traffic. - Manoj Bode; Shashi Shekhar Jha; Shivashankar B. Nair (EAI Endorsed Trans. Ambient Syst., 2015)

On a Multi-agent Distributed Asynchronous Intelligence-Sharing and Learning Framework. - Shashi Shekhar Jha; Shivashankar B. Nair (Trans. Comput. Collect. Intell., 2015)

TARTARUS: A Multi-Agent Platform for Bridging the Gap between Cyber and Physical Systems (Demonstration). - Tushar Semwal; S. Nikhil 003; Shashi Shekhar Jha; Shivashankar B. Nair (AAMAS, 2016)

Upping the Game of Taxi Driving in the Age of Uber. - Shashi Shekhar Jha; Shih-Fen Cheng; Meghna Lowalekar; Nicholas Wong; Rishikeshan Rajendram; Trong Khiem Tran; Pradeep Varakantham; Trong Nghia Truong; Firmansyah Bin Abd Rahman (AAAI, 2018)

Taxis Strike Back: A Field Trial of the Driver Guidance System. - Shih-Fen Cheng; Shashi Shekhar Jha; Rishikeshan Rajendram (AAMAS, 2018)

A Driver Guidance System for Taxis in Singapore. - Shashi Shekhar Jha; Shih-Fen Cheng; Meghna Lowalekar; Nicholas Wong; Rishikeshan Rajendram; Pradeep Varakantham; Nghia Troung Troung; Firmansyah Bin Abd Rahman (AAMAS, 2018)

On Ordering Multi-Robot Task Executions within a Cyber Physical System. - Tushar Semwal; Shashi Shekhar Jha; Shivashankar B. Nair (ACM Trans. Auton. Adapt. Syst., 2018)

TANSA: Task Allocation Using Nomadic Soft Agents for Multirobot Systems. - Shashi Shekhar Jha; Shivashankar B. Nair (IEEE Trans. Emerg. Top. Comput. Intell., 2018)

Route Planning for a Fleet of Electric Vehicles with Waiting Times at Charging Stations. - Baoxiang Li; Shashi Shekhar Jha; Hoong Chuin Lau (EvoCOP, 2019)

On Camera Pose Estimation for 3D Scene Reconstruction. - Athul Thaliyachira Reji; Shashi Shekhar Jha; Ekta Singla (COMAD/CODS, 2021)

Directed Explorations During Flood Disasters Using Multi-UAV System. - Armaan Garg; Shashi Shekhar Jha (CASE, 2022)

Behind the Scenes of a Postgraduate Curriculum Design in an Autonomous Institute. - Neeraj Goel; Shashi Shekhar Jha; S. R. S. Iyenger (COMPUTE, 2022)

Real-Time Serviceable Path Planning using UAVs for Waterborne Vehicle Navigation during Floods. - Armaan Garg; Shashi Shekhar Jha (AIR, 2023)

Chasing the Intruder: A Reinforcement Learning Approach for Tracking Unidentified Drones. - Shivam Kainth; Subham Sahoo; Rajtilak Pal; Shashi Shekhar Jha (AIR, 2023)

On Subset Selection of Multiple Humans To Improve Human-AI Team Accuracy. - Sagalpreet Singh; Shweta Jain 002; Shashi Shekhar Jha (AAMAS, 2023)

Decentralized Critical Area Coverage Using Multi-UAV System with Guided Explorations During Floods. - Armaan Garg; Shashi Shekhar Jha (CASE, 2023)

Take Expert Advice Judiciously: Combining Groupwise Calibrated Model Probabilities with Expert Predictions. - Sumeet Gupta; Shweta Jain 002; Shashi Shekhar Jha; Pao-Ann Hsiung; Ming-Hung Wang (ECAI, 2023)

A novel power consumption optimization framework in 5G heterogeneous networks. - Kuna Venkateswararao; Pravati Swain; Shashi Shekhar Jha; Iacovos Ioannou; Andreas Pitsillides (Comput. Networks, 2023)

Chasing the Intruder: A Reinforcement Learning Approach for Tracking Intruder Drones. - Shivam Kainth; Subham Sahoo; Rajtilak Pal; Shashi Shekhar Jha (CoRR, 2023)

Deep deterministic policy gradient based multi-UAV control for moving convoy tracking. - Armaan Garg; Shashi Shekhar Jha (Eng. Appl. Artif. Intell., 2023)

Attentive A* for Visual Cue Based Path Planning in Complex Environments. - Abhay Kumar; Kunal Verma; Armaan Garg; Shashi Shekhar Jha (AREA, 2024)

MSBNet: Handwritten Bangla Character Recognition Using Lightweight Multi-scale CNN Architecture. - Rejoy Chakraborty; Chayan Halder; Kaushik Roy 004; Shivam Gupta 004; Shashi Shekhar Jha (COMAD/CODS (December), 2024)

Model-based Safe Reinforcement Learning using Variable Horizon Rollouts. - Shourya Gupta; Utkarsh Suryaman; Rahul Narava; Shashi Shekhar Jha (COMAD/CODS, 2024)

AMAF-CD: A Game-Changing Approach for Optimizing Squad Movement in StarCraft. - Amit Kumar; Ashish Virdi; Nishant Sharma; Armaan Garg; Shashi Shekhar Jha (COMAD/CODS (December), 2024)

CGFLasso: Combating Multicollinearity using Domain Knowledge. - Soumya Sarkar; Nitin Singhal; Shweta Jain 002; Shashi Shekhar Jha (COMAD/CODS, 2024)

PLACO: A Multi-Stage Framework for Cost-Effective Performance in Human-AI Teams. - Pranavkumar Mallela; Vinay Kumar; Shashi Shekhar Jha; Shweta Jain 002 (ECAI, 2024)

Multi-Unmanned Aerial Vehicle-Assisted Flood Navigation of Waterborne Vehicles Using Deep Reinforcement Learning. - Armaan Garg; Shashi Shekhar Jha (J. Comput. Inf. Sci. Eng., 2024)

Learning continuous multi-UAV controls with directed explorations for flood area coverage. - Armaan Garg; Shashi Shekhar Jha (Robotics Auton. Syst., 2024)

Reviewing Virtual Reality's Potential in CBRN Training: Synergizing AI, HCI, and Psychology for Immersive Preparedness. - Rahul Kumar Rai; Devesh Kumar; Shashi Shekhar Jha; Ratnesh Singh Kanwar; Reshu Bansal (XR (6), 2025)

Deep Reinforcement Learning Based Localization and Tracking of Intruder Drone. - Shivam Kainth; Shashi Shekhar Jha (J. Comput. Inf. Sci. Eng., 2025)