Exploiting POSS–sorbitol interactions: issues of reinforcement of isotactic polypropylene spun fibers S Roy, BJ Lee, ZM Kakish, SC Jana Macromolecules 45 (5), 2420-2433, 2012 | 39 | 2012 |
Information correlated Lévy walk exploration and distributed mapping using a swarm of robots RK Ramachandran, Z Kakish, S Berman IEEE Transactions on Robotics 36 (5), 1422-1441, 2020 | 28 | 2020 |
Controllability and stabilization for herding a robotic swarm using a leader: A mean-field approach K Elamvazhuthi, Z Kakish, A Shirsat, S Berman IEEE Transactions on Robotics 37 (2), 418-432, 2020 | 20 | 2020 |
Mean-field stabilization of Markov chain models for robotic swarms: Computational approaches and experimental results V Deshmukh, K Elamvazhuthi, S Biswal, Z Kakish, S Berman IEEE Robotics and Automation Letters 3 (3), 1985-1992, 2018 | 19 | 2018 |
Using reinforcement learning to herd a robotic swarm to a target distribution Z Kakish, K Elamvazhuthi, S Berman Distributed Autonomous Robotic Systems: 15th International Symposium, 401-414, 2022 | 7 | 2022 |
Towards decentralized human-swarm interaction by means of sequential hand gesture recognition Z Kakish, S Vedartham, S Berman arXiv preprint arXiv:2102.02439, 2021 | 2 | 2021 |
Open-source AI assistant for cooperative multi-agent systems for lunar prospecting missions ZM Kakish, F RodrÃguez-Lera, D Bischel, A Mosquera, R Boumghar, ... 8th European Conference for Aeronautics and Space Sciences (EUCASS), 2019 | 2 | 2019 |
Effectiveness of Warm-Start PPO for Guidance with Highly Constrained Nonlinear Fixed-Wing Dynamics CT Coletti, KA Williams, HC Lehman, ZM Kakish, D Whitten, JJ Parish 2023 American Control Conference (ACC), 3288-3295, 2023 | 1 | 2023 |
Robotic Swarm Control Using Deep Reinforcement Learning Strategies Based on Mean-Field Models Z Kakish Arizona State University, 2021 | 1 | 2021 |
Adaptive synergy control of a dexterous artificial hand to rotate objects in multiple orientations via EMG facial recognition BA Kent, ZM Kakish, N Karnati, ED Engeberg 2014 IEEE International Conference on Robotics and Automation (ICRA), 6719-6725, 2014 | 1 | 2014 |
Machine learning at the edge to improve in-field safeguards inspections N Shoman, K Williams, B Balsara, A Ramakrishnan, Z Kakish, J Coram, ... Annals of Nuclear Energy 200, 110398, 2024 | | 2024 |
Inspecta 1.0: Incorporating Spot Robotic Support Z Kakish, K Williams, S Elliot, S Cox, H Smartt Proceedings of the INMM/ESARDA Joint Annual Meeting, 2023 | | 2023 |
Inspecta Annual Technical Report HA Smartt, J Coram, S Dorawa, D Hannasch, P Honnold, Z Kakish, ... Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022 | | 2022 |
NASA Frontier Development Lab Technical Memorandum D Bischel, Z Kakish, A Mosquera, R Boumghar, P Metzger, JL Galache, ... | | 2018 |
CrazySim: A Software-in-the-Loop Simulator for the Crazyflie Nano Quadrotor C Llanes, Z Kakish, K Williams, S Coogan | | |
Herding a Robotic Swarm using a Leader: A Mean-Field Modeling Approach K Elamvazhuthi, Z Kakish, A Shirsat, S Berman | | |