| Synthesis of control barrier functions using a supervised machine learning approach M Srinivasan, A Dabholkar, S Coogan, PA Vela 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 114 | 2020 |
| Control of multi-agent systems with finite time control barrier certificates and temporal logic M Srinivasan, S Coogan, M Egerstedt 2018 IEEE Conference on Decision and Control (CDC), 1991-1996, 2018 | 98 | 2018 |
| Control of mobile robots using barrier functions under temporal logic specifications M Srinivasan, S Coogan IEEE Transactions on Robotics 37 (2), 363-374, 2020 | 51 | 2020 |
| A sequential composition framework for coordinating multirobot behaviors P Pierpaoli, A Li, M Srinivasan, X Cai, S Coogan, M Egerstedt IEEE Transactions on Robotics 37 (3), 864-876, 2020 | 17 | 2020 |
| Extent-compatible control barrier functions M Srinivasan, M Abate, G Nilsson, S Coogan Systems & Control Letters 150, 104895, 2021 | 14 | 2021 |
| Synthesis of control barrier functions using a supervised machine learning approach. In 2020 IEEE M Srinivasan, A Dabholkar, S Coogan, PA Vela RSJ International Conference on Intelligent Robots and Systems (IROS), 7139-7145, 0 | 14 | |
| Fast multi-robot motion planning via imitation learning of mixed-integer programs M Srinivasan, A Chakrabarty, R Quirynen, N Yoshikawa, T Mariyama, ... IFAC-PapersOnLine 54 (20), 598-604, 2021 | 10 | 2021 |
| Weighted Polar Finite Time Control Barrier Functions With Applications To Multi-Robot Systems M Srinivasan, P Nak-seung, S Coogan 2019 IEEE Conference on Decision and Control (CDC), 7031-7036, 2019 | 8 | 2019 |
| Dynamic power allocation using Stackelberg game in a wireless sensor network M Srinivasan, A Kak, K Shivdikar, C Warty 2016 IEEE Aerospace Conference, 1-10, 2016 | 7 | 2016 |
| Continuous reachability task transition using control barrier functions M Srinivasan, C Santoyo, S Coogan IFAC-PapersOnLine 53 (2), 9696-9701, 2020 | 3 | 2020 |
| Energy consumption management based on game theoretical device prioritization M Srinivasan, D Decker US Patent 10,466,760, 2019 | 3 | 2019 |
| Geometry of Radial Basis Neural Networks for Safety Biased Approximation of Unsafe Regions A Abuaish, M Srinivasan, PA Vela 2023 American Control Conference (ACC), 1459-1466, 2023 | 1 | 2023 |
| Vehicle path adjustment M Hafner, M Srinivasan, A Sharma, MJ Jankovic, D Sumer, A Jaeckel, ... US Patent App. 17/527,207, 2023 | 1 | 2023 |
| Vehicle path adjustment M Hafner, M Srinivasan, A Sharma, MJ Jankovic, ED Sumer, A Jaeckel, ... US Patent App. 17/750,434, 2023 | 1 | 2023 |
| Synthesis of barrier certificate-based controllers for safe robotic task execution M Srinivasan Georgia Institute of Technology, 2020 | 1 | 2020 |
| Cooperative communication relaying in hybrid heterogeneous networks A Kak, M Srinivasan, C Warty 2016 IEEE Aerospace Conference, 1-11, 2016 | 1 | 2016 |
| Obstacle avoidance for vehicle with trailer M Srinivasan, HE Tseng, L Xu, CP Angold-Stephens US Patent 11,938,929, 2024 | | 2024 |
| Obstacle avoidance for vehicle M Srinivasan, HE Tseng, M Hafner, MJ Jankovic, A Sharma, ED Sumer, ... US Patent App. 17/818,724, 2024 | | 2024 |
| Vehicle path adjustment ED Sumer, A Sharma, M Srinivasan, A Jaeckel, M Hafner, MJ Jankovic, ... US Patent App. 17/839,637, 2023 | | 2023 |
| Obstacle avoidance for vehicle A Sharma, M Hafner, M Srinivasan, MJ Jankovic, ED Sumer, A Jaeckel, ... US Patent App. 17/746,192, 2023 | | 2023 |
Samuel CooganAssociate Professor, Georgia Tech在 gatech.edu 的电子邮件经过验证
