Orienting in mid-air through configuration changes to achieve a rolling landing for reducing impact after a fall. - Jeffrey T. Bingham; Jeongseok Lee; Ravi N. Haksar; Jun Ueda; C. Karen Liu (IROS, 2014)

Controlling Large, Graph-based MDPs with Global Control Capacity Constraints: An Approximate LP Solution. - Ravi N. Haksar; Mac Schwager (CDC, 2018)

Distributed Deep Reinforcement Learning for Fighting Forest Fires with a Network of Aerial Robots. - Ravi N. Haksar; Mac Schwager (IROS, 2018)

Scalable Filtering of Large Graph-Coupled Hidden Markov Models. - Ravi N. Haksar; Joseph Lorenzetti; Mac Schwager (CDC, 2019)

Controlling Heterogeneous Stochastic Growth Processes on Lattices with Limited Resources. - Ravi N. Haksar; Friedrich Solowjow; Sebastian Trimpe; Mac Schwager (CDC, 2019)

Consensus-Based ADMM for Task Assignment in Multi-robot Teams. - Ravi N. Haksar; Olaoluwa Shorinwa; Patrick H. Washington; Mac Schwager (ISRR, 2019)

Spatial Scheduling of Informative Meetings for Multi-Agent Persistent Coverage. - Ravi N. Haksar; Sebastian Trimpe; Mac Schwager (IEEE Robotics Autom. Lett., 2020)

Learning Large Graph-Based MDPs With Historical Data. - Ravi N. Haksar; Mac Schwager (IEEE Trans. Control. Netw. Syst., 2022)

Distributed Multirobot Task Assignment via Consensus ADMM. - Ola Shorinwa; Ravi N. Haksar; Patrick H. Washington; Mac Schwager (IEEE Trans. Robotics, 2023)

Constrained Control of Large Graph-Based MDPs Under Measurement Uncertainty. - Ravi N. Haksar; Mac Schwager (IEEE Trans. Autom. Control., 2023)