Privacy Preserving Computation of Shortest Path in Presence of a Single Convex Polygonal Obstacle. - Ananda Swarup Das; Kannan Srinathan; Ritesh Kumar Tiwari; Vaibhav Srivastava (MDM, 2007)

Privacy Preserving Shortest Path Computation in Presence of Convex Polygonal Obstacles. - Ananda Swarup Das; Jitu Kumar Keshri; Kannan Srinathan; Vaibhav Srivastava (ARES, 2008)

Task release control for decision making queues. - Vaibhav Srivastava; Ruggero Carli; Cédric Langbort; Francesco Bullo (ACC, 2011)

Stochastic surveillance strategies for spatial quickest detection. - Vaibhav Srivastava; Francesco Bullo (CDC/ECC, 2011)

Hybrid combinatorial optimization: Sample problems and algorithms. - Vaibhav Srivastava; Francesco Bullo (CDC/ECC, 2011)

Adaptive sensor selection in sequential hypothesis testing. - Vaibhav Srivastava; Kurt Plarre; Francesco Bullo (CDC/ECC, 2011)

A distributed algorithm for random convex programming. - Luca Carlone; Vaibhav Srivastava; Francesco Bullo; Giuseppe Carlo Calafiore (NetGCoop, 2011)

On Bifurcations in Nonlinear Consensus Networks. - Vaibhav Srivastava; Jeff Moehlis; Francesco Bullo (J. Nonlinear Sci., 2011)

Randomized Sensor Selection in Sequential Hypothesis Testing. - Vaibhav Srivastava; Kurt Plarre; Francesco Bullo (IEEE Trans. Signal Process., 2011)

Adaptive attention allocation in human-robot systems. - Vaibhav Srivastava; Amit Surana; Francesco Bullo (ACC, 2012)

On optimal foraging and multi-armed bandits. - Vaibhav Srivastava; Paul Reverdy; Naomi Ehrich Leonard (Allerton, 2013)

On the speed-accuracy tradeoff in collective decision making. - Vaibhav Srivastava; Naomi Ehrich Leonard (CDC, 2013)

Modeling Human Decision-making in Generalized Gaussian Multi-armed Bandits. - Paul Reverdy; Vaibhav Srivastava; Naomi Ehrich Leonard (CoRR, 2013)

Mixed Human-Robot Team Surveillance. - Vaibhav Srivastava; Amit Surana; Miguel P. Eckstein; Francesco Bullo (CoRR, 2013)

Stochastic surveillance strategies for spatial quickest detection. - Vaibhav Srivastava; Fabio Pasqualetti; Francesco Bullo (Int. J. Robotics Res., 2013)

Further results on a class of nonlinear protocols in networked systems. - Hamid Emadi; Vaibhav Srivastava; Umesh Vaidya; Sourabh Bhattacharya (AuCC, 2014)

Surveillance in an abruptly changing world via multiarmed bandits. - Vaibhav Srivastava; Paul Reverdy; Naomi Ehrich Leonard (CDC, 2014)

Algorithmic models of human decision making in Gaussian multi-armed bandit problems. - Paul Reverdy; Vaibhav Srivastava; Naomi Ehrich Leonard (ECC, 2014)

Attention allocation for decision making queues. - Vaibhav Srivastava; Ruggero Carli; Cédric Langbort; Francesco Bullo (Autom., 2014)

APP: an Automated Proteomics Pipeline for the analysis of mass spectrometry data based on multiple open access tools. - Erik K. Malm; Vaibhav Srivastava; Gustav Sundqvist; Vincent Bulone (BMC Bioinform., 2014)

Knapsack problems with sigmoid utilities: Approximation algorithms via hybrid optimization. - Vaibhav Srivastava; Francesco Bullo (Eur. J. Oper. Res., 2014)

Modeling Human Decision Making in Generalized Gaussian Multiarmed Bandits. - Paul Reverdy; Vaibhav Srivastava; Naomi Ehrich Leonard (Proc. IEEE, 2014)

Distributed Random Convex Programming via Constraints Consensus. - Luca Carlone; Vaibhav Srivastava; Francesco Bullo; Giuseppe Carlo Calafiore (SIAM J. Control. Optim., 2014)

Collective Decision-Making in Ideal Networks: The Speed-Accuracy Tradeoff. - Vaibhav Srivastava; Naomi Ehrich Leonard (IEEE Trans. Control. Netw. Syst., 2014)

On first passage time problems in collective decision-making with heterogeneous agents. - Vaibhav Srivastava; Naomi Ehrich Leonard (ACC, 2015)

A Theory of Decision Making Under Dynamic Context. - Michael Shvartsman; Vaibhav Srivastava; Jonathan D. Cohen 003 (NIPS, 2015)

Correlated Multiarmed Bandit Problem: Bayesian Algorithms and Regret Analysis. - Vaibhav Srivastava; Paul Reverdy; Naomi Ehrich Leonard (CoRR, 2015)

Distributed cooperative decision-making in multiarmed bandits: Frequentist and Bayesian algorithms. - Peter Landgren; Vaibhav Srivastava; Naomi Ehrich Leonard (CDC, 2016)

On distributed cooperative decision-making in multiarmed bandits. - Peter Landgren; Vaibhav Srivastava; Naomi Ehrich Leonard (ECC, 2016)

On distributed linear filtering with noisy communication. - Anthony J. Savas; Vaibhav Srivastava; Naomi Ehrich Leonard (ACC, 2017)

Bio-inspired decision-making and control: From honeybees and neurons to network design. - Vaibhav Srivastava; Naomi Ehrich Leonard (ACC, 2017)

On robustness and leadership in Markov switching consensus networks. - Sarah Huiyi Cen; Vaibhav Srivastava; Naomi Ehrich Leonard (CDC, 2017)

On the linear threshold model for diffusion of innovations in multiplex social networks. - Yaofeng Desmond Zhong; Vaibhav Srivastava; Naomi Ehrich Leonard (CDC, 2017)

Satisficing in Multi-Armed Bandit Problems. - Paul Reverdy; Vaibhav Srivastava; Naomi Ehrich Leonard (IEEE Trans. Autom. Control., 2017)

On Abruptly-Changing and Slowly-Varying Multiarmed Bandit Problems. - Lai Wei 002; Vaibhav Srivastava (ACC, 2018)

Social Imitation in Cooperative Multiarmed Bandits: Partition-Based Algorithms with Strictly Local Information. - Peter Landgren; Vaibhav Srivastava; Naomi Ehrich Leonard (CDC, 2018)

On Distributed Multi-Player Multiarmed Bandit Problems in Abruptly Changing Environment. - Lai Wei 002; Vaibhav Srivastava (CDC, 2018)

Multi-Armed Bandits for Human-Machine Decision Making. - Paul Reverdy; Vaibhav Srivastava (ICASSP, 2018)

Gait Transitions in a Phase Oscillator Model of an Insect Central Pattern Generator. - Zahra Aminzare; Vaibhav Srivastava; Philip Holmes (SIAM J. Appl. Dyn. Syst., 2018)

Multiagent Decision-Making Dynamics Inspired by Honeybees. - Rebecca Gray; Alessio Franci; Vaibhav Srivastava; Naomi Ehrich Leonard (IEEE Trans. Control. Netw. Syst., 2018)

Optimal Fidelity Selection for Human-in-the-loop Queues using Semi-Markov Decision Processes. - Piyush Gupta; Vaibhav Srivastava (ACC, 2019)

On Phase Reduction and Time Period of Noisy Oscillators. - Zahra Aminzare; Philip Holmes; Vaibhav Srivastava (CDC, 2019)

Achieving Efficient Collaboration in Decentralized Heterogeneous Teams using Common-Pool Resource Games. - Piyush Gupta; Shaunak D. Bopardikar; Vaibhav Srivastava (CDC, 2019)

Driving an Ornstein-Uhlenbeck Process to Desired First-Passage Time Statistics. - Khem Raj Ghusinga; Vaibhav Srivastava; Abhyudai Singh (ECC, 2019)

On Epidemic Spreading under Mobility on Networks. - Vishal Abhishek; Vaibhav Srivastava (CoRR, 2019)

SIS Epidemic Model under Mobility on Multi-layer Networks. - Vishal Abhishek; Vaibhav Srivastava (ACC, 2020)

Design of Robust Path-Following Control System for Self-driving Vehicles Using Extended High-Gain Observer. - Yasir Khudhair Al-Nadawi; Hothaifa Al-Qassab; Daniel Kent 001; Su Pang; Vaibhav Srivastava; Hayder Radha (ACC, 2020)

Robust tracking of an unknown trajectory with a multi-rotor UAV: A high-gain observer approach. - Connor J. Boss; Vaibhav Srivastava; Hassan K. Khalil (ACC, 2020)

Expedited Multi-Target Search with Guaranteed Performance via Multi-fidelity Gaussian Processes. - Lai Wei 002; Xiaobo Tan; Vaibhav Srivastava (IROS, 2020)

Minimax Policy for Heavy-tailed Multi-armed Bandits. - Lai Wei 002; Vaibhav Srivastava (CoRR, 2020)

Dynamic Vehicle Routing in Presence of Random Recalls. - Shaunak D. Bopardikar; Vaibhav Srivastava (IEEE Control. Syst. Lett., 2020)

Towards a heterogeneous cable-connected team of UAVs for aerial manipulation. - Vishal Abhishek; Vaibhav Srivastava; Ranjan Mukherjee (ACC, 2021)

Towards multi-body multi-rotors for long reach manipulation. - Connor J. Boss; Vishal Abhishek; Vaibhav Srivastava (ACC, 2021)

Online Estimation and Coverage Control with Heterogeneous Sensing Information. - Andrew McDonald 003; Lai Wei 002; Vaibhav Srivastava (CCTA, 2021)

On Robust and Adaptive Fidelity Selection for Human-in-the-loop Queues. - Piyush Gupta; Vaibhav Srivastava (ECC, 2021)

Multi-Robot Gaussian Process Estimation and Coverage: Deterministic Sequencing Algorithm and Regret Analysis. - Lai Wei 002; Andrew McDonald 003; Vaibhav Srivastava (ICRA, 2021)

Distributed cooperative decision making in multi-agent multi-armed bandits. - Peter Landgren; Vaibhav Srivastava; Naomi Ehrich Leonard (Autom., 2021)

Regret Analysis of Distributed Gaussian Process Estimation and Coverage. - Lai Wei 002; Andrew McDonald 003; Vaibhav Srivastava (CoRR, 2021)

Nonstationary Stochastic Multiarmed Bandits: UCB Policies and Minimax Regret. - Lai Wei 002; Vaibhav Srivastava (CoRR, 2021)

Phase Reduction and Synchronization of Coupled Noisy Oscillators. - Zahra Aminzare; Vaibhav Srivastava (CoRR, 2021)

A High-Gain Observer Approach to Robust Trajectory Estimation and Tracking for a Multi-rotor UAV. - Connor J. Boss; Vaibhav Srivastava (CoRR, 2021)

Minimax Policy for Heavy-Tailed Bandits. - Lai Wei 002; Vaibhav Srivastava (IEEE Control. Syst. Lett., 2021)

In-Flight Actuator Failure Recovery of a Hexrotor Via Multiple Models and Extended High-Gain Observers. - Connor J. Boss; Vaibhav Srivastava (IEEE Robotics Autom. Lett., 2021)

Corrections to "Satisficing in Multiarmed Bandit Problems". - Paul Reverdy; Vaibhav Srivastava; Naomi Ehrich Leonard (IEEE Trans. Autom. Control., 2021)

A Scenario Approach to Robust Simulation-based Path Planning. - Shaunak D. Bopardikar; Vaibhav Srivastava (ACC, 2022)

Towards Modeling Human Motor Learning Dynamics in High-Dimensional Spaces. - Ankur Kamboj; Rajiv Ranganathan; Xiaobo Tan; Vaibhav Srivastava (ACC, 2022)

Epidemic Propagation under Evolutionary Behavioral Dynamics: Stability and Bifurcation Analysis. - Abhisek Satapathi; Narendra Kumar Dhar; Ashish R. Hota; Vaibhav Srivastava (ACC, 2022)

Deterministic Sequencing of Exploration and Exploitation for Reinforcement Learning. - Piyush Gupta; Vaibhav Srivastava (CDC, 2022)

Stochastic synchronization in nonlinear network systems driven by intrinsic and coupling noise. - Zahra Aminzare; Vaibhav Srivastava (Biol. Cybern., 2022)

SIS Epidemic Spreading under Multi-layer Population Dispersal in Patchy Environments. - Vishal Abhishek; Vaibhav Srivastava (CoRR, 2022)

Influence Spread in the Heterogeneous Multiplex Linear Threshold Model. - Yaofeng Desmond Zhong; Vaibhav Srivastava; Naomi Ehrich Leonard (IEEE Trans. Control. Netw. Syst., 2022)

Exploration of Unknown Scalar Fields with Multifidelity Gaussian Processes Under Localization Uncertainty. - Demetris Coleman; Shaunak D. Bopardikar; Vaibhav Srivastava; Xiaobo Tan (ACC, 2023)

On Trust-aware Assistance-seeking in Human-Supervised Autonomy. - Dong Hae Mangalindan; Ericka Rovira; Vaibhav Srivastava (ACC, 2023)

Simultaneous Motion and Stiffness Control for Soft Pneumatic Manipulators based on a Lagrangian-based Dynamic Model. - Yu Mei; Preston Fairchild; Vaibhav Srivastava; Changyong Cao; Xiaobo Tan (ACC, 2023)

Multiple Flying Object Detection using AlexNet Architecture for Aerial Surveillance Applications. - Abhishek Bajpai; Vaibhav Srivastava; Shruti Yadav; Yash Sharma (ICCCNT, 2023)

On Multi-Fidelity Impedance Tuning for Human-Robot Cooperative Manipulation. - Ethan Lau; Vaibhav Srivastava; Shaunak D. Bopardikar (CoRR, 2023)

Fostering Human Learning in Sequential Decision-Making: Understanding the Role of Evaluative Feedback. - Piyush Gupta; Subir Biswas; Vaibhav Srivastava (CoRR, 2023)

Optimal Fidelity Selection for Improved Performance in Human-in-the-Loop Queues for Underwater Search. - Piyush Gupta; Vaibhav Srivastava (CoRR, 2023)

A Multi-Fidelity Bayesian Approach to Safe Controller Design. - Ethan Lau; Vaibhav Srivastava; Shaunak D. Bopardikar (IEEE Control. Syst. Lett., 2023)

SIS Epidemic Propagation Under Strategic Non-Myopic Protection: A Dynamic Population Game Approach. - Urmee Maitra; Ashish R. Hota; Vaibhav Srivastava (IEEE Control. Syst. Lett., 2023)

Incentivizing Collaboration in Heterogeneous Teams via Common-Pool Resource Games. - Piyush Gupta; Shaunak D. Bopardikar; Vaibhav Srivastava (IEEE Trans. Autom. Control., 2023)

Cloud-Assisted Nonlinear Model Predictive Control for Finite-Duration Tasks. - Nan Li 015; Kaixiang Zhang 001; Zhaojian Li; Vaibhav Srivastava; Xiang Yin 003 (IEEE Trans. Autom. Control., 2023)

Assistance-Seeking in Human-Supervised Autonomy: Role of Trust and Secondary Task Engagement. - Dong Hae Mangalindan; Vaibhav Srivastava (RO-MAN, 2024)

Assistance-Seeking in Human-Supervised Autonomy: Role of Trust and Secondary Task Engagement (Extended Version). - Dong Hae Mangalindan; Vaibhav Srivastava (CoRR, 2024)

Online Reduced-Order Data-Enabled Predictive Control. - Amin Vahidi-Moghaddam; Kaixiang Zhang 001; Xunyuan Yin; Vaibhav Srivastava; Zhaojian Li (CoRR, 2024)

Human motor learning dynamics in high-dimensional tasks. - Ankur Kamboj; Rajiv Ranganathan; Xiaobo Tan; Vaibhav Srivastava (PLoS Comput. Biol., 2024)

Structural properties of optimal fidelity selection policies for human-in-the-loop queues. - Piyush Gupta; Vaibhav Srivastava (Autom., 2024)

SIS Epidemic Spreading Under Multilayer Population Dispersal in Patchy Environments. - Vishal Abhishek; Vaibhav Srivastava (IEEE Trans. Control. Netw. Syst., 2024)

Coupled Evolutionary Behavioral and Disease Dynamics Under Reinfection Risk. - Abhisek Satapathi; Narendra Kumar Dhar; Ashish R. Hota; Vaibhav Srivastava (IEEE Trans. Control. Netw. Syst., 2024)

Mechanical Design and Data-Enabled Predictive Control of a Planar Soft Robot. - Huanqing Wang; Kaixiang Zhang 001; Kyungjoon Lee; Yu Mei; Keyi Zhu; Vaibhav Srivastava; Jun Sheng; Zhaojian Li (IEEE Robotics Autom. Lett., 2024)

Expediting human motor learning in high-dimensional de-novo tasks via online curriculum design. - Ankur Kamboj; Rajiv Ranganathan; Xiaobo Tan; Vaibhav Srivastava (ACC, 2025)

On Logit Dynamics for Multiplayer Trust Game. - Dong Hae Mangalindan; Ashish R. Hota; Vaibhav Srivastava (ACC, 2025)

Model-free Vehicle Rollover Prevention: A Data-driven Predictive Control Approach. - Mohammad R. Hajidavalloo; Kaixiang Zhang; Vaibhav Srivastava; Zhaojian Li (CoRR, 2025)

FreqFaceNet: an enhanced transformer architecture with dual-order frequency attention for deepfake detection. - Varun Gupta; Vaibhav Srivastava; Ankit Yadav; Dinesh Kumar Vishwakarma; Narendra Kumar (Appl. Intell., 2025)

Fast Online Adaptive Neural MPC via Meta-Learning. - Yu Mei; Xinyu Zhou; Shuyang Yu; Vaibhav Srivastava; Xiaobo Tan (CoRR, 2025)

Modeling Trust Dynamics in Robot-Assisted Delivery: Impact of Trust Repair Strategies. - Dong Hae Mangalindan; Karthik Kandikonda; Ericka Rovira; Vaibhav Srivastava (CoRR, 2025)

LTLCrit: A Temporal Logic-based LLM Critic for Safe and Efficient Embodied Agents. - Anand Gokhale; Vaibhav Srivastava; Francesco Bullo (CoRR, 2025)