Publications

Publications are listed most-recent first. For collaborations, feel free to contact us.

2024

  1. Safe Explicit MPC by Training Neural Networks Through Constrained Optimization
    Andrei Kanavalau, and Sanjay Lall
    In 2024 UKACC 14th International Conference on Control (CONTROL), 2024

2023

  1. Optimal Dorfman Group Testing For Symmetric Distributions
    Nicholas C. Landolfi, and Sanjay Lall
    arXiv preprint arXiv:2308.11050, 2023
  2. Satisfiability. jl: Satisfiability Modulo Theories in Julia
    Emiko Soroka, Mykel J Kochenderfer, and Sanjay Lall
    arXiv preprint arXiv:2309.08778, 2023

2022

  1. Probabilistic Modeling Using Tree Linear Cascades
    Nicholas C Landolfi, and Sanjay Lall
    arXiv preprint arXiv:2202.07205, 2022
  2. Unsupervised language models for disease variant prediction
    Allan Zhou, Nicholas C. Landolfi, and Daniel C. O’Neill
    2022
  3. Designing a Hardware-Agnostic Interface Between Route and Trajectory Planning in Self-Driving Cars
    Emiko Soroka, and Sanjay Lall
    In 2022 IEEE Conference on Control Technology and Applications (CCTA), 2022
  4. Cautious Markov Games for Interaction Aware Robotics
    Rohan Sinha, and Sanjay Lall
    Conference on Robot Learning, 2022
  5. Thermal runaway avoidance using Hamilton–Jacobi reachability and model predictive control
    Andrei Kanavalau, and Sanjay Lall
    Computers & Chemical Engineering, 2022

2021

  1. Cloud Telemetry Modeling via Residual Gauss-Markov Random Fields
    Nicholas C Landolfi, Daniel C O’Neill, and Sanjay Lall
    In 2021 24th Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN), 2021

2020

  1. Learning reward functions from diverse sources of human feedback: Optimally integrating demonstrations and preferences
    Erdem Bıyık, Dylan P Losey, Malayandi Palan, and 3 more authors
    arXiv preprint arXiv:2006.14091, 2020

2019

  1. A Model-based Approach for Sample-efficient Multi-task Reinforcement Learning
    Nicholas C Landolfi, Garrett Thomas, and Tengyu Ma
    arXiv preprint arXiv:1907.04964, 2019
  2. Asking easy questions: A user-friendly approach to active reward learning
    Erdem Bıyık, Malayandi Palan, Nicholas C Landolfi, and 2 more authors
    arXiv preprint arXiv:1910.04365, 2019
  3. Learning reward functions by integrating human demonstrations and preferences
    Malayandi Palan, Nicholas C Landolfi, Gleb Shevchuk, and 1 more author
    arXiv preprint arXiv:1906.08928, 2019

2018

  1. Social cohesion in autonomous driving
    Nicholas C Landolfi, and Anca D Dragan
    In 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018
  2. Planning for Cars that Coordinate with People: Leveraging Effects on Human Actions for Planning and Active Information Gathering over Human Internal State
    Dorsa Sadigh, Nick Landolfi, S. Shankar Sastry, and 2 more authors
    Autonomous Robots (AURO), Oct 2018

2017

  1. Exploring Active Human Goal Inference in Shared Autonomy and Autonomous Driving
    Nick Landolfi, and Anca D. Dragan
    RSS Workshop: Mathematical Models, Algorithms, and Human-Robot Interaction, Oct 2017

2015

  1. Optimal control of two-player systems with output feedback
    Laurent Lessard, and Sanjay Lall
    IEEE Transactions on Automatic Control, Oct 2015
  2. Convexity of decentralized controller synthesis
    Laurent Lessard, and Sanjay Lall
    IEEE Transactions on Automatic Control, Oct 2015

2014

  1. Optimal controller synthesis for decentralized systems over graphs via spectral factorization
    John Swigart, and Sanjay Lall
    IEEE Transactions on Automatic Control, Oct 2014
  2. An algebraic approach to the control of decentralized systems
    Laurent Lessard, and Sanjay Lall
    IEEE Transactions on Control of Network Systems, Oct 2014

2008

  1. Structured semidefinite programs for the control of symmetric systems
    Randy Cogill, Sanjay Lall, and Pablo A Parrilo
    Automatica, Oct 2008
  2. Testing static equilibrium for legged robots
    Timothy Bretl, and Sanjay Lall
    IEEE Transactions on Robotics, Oct 2008

2007

  1. Global stability analysis of a nonlinear model of Internet congestion control with delay
    Matthew Peet, and Sanjay Lall
    IEEE Transactions on Automatic Control, Oct 2007

2006

  1. Discrete variational Hamiltonian mechanics
    S Lall, and Matthew West
    Journal of Physics A: Mathematical and general, Oct 2006
  2. An approximation algorithm for the discrete team decision problem
    Randy Cogill, and Sanjay Lall
    SIAM Journal on Control and Optimization, Oct 2006

2005

  1. A scheme for robust distributed sensor fusion based on average consensus
    Lin Xiao, Stephen Boyd, and Sanjay Lall
    In IPSN 2005. Fourth International Symposium on Information Processing in Sensor Networks, 2005., Oct 2005

1999

  1. A new approach for analysis and synthesis of time-varying systems
    Geir E Dullerud, and Sanjay Lall
    IEEE Transactions on Automatic Control, Oct 1999