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Gennaro Notomista
Gennaro Notomista
Bestätigte E-Mail-Adresse bei uwaterloo.ca - Startseite
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Zitiert von
Zitiert von
Jahr
Control barrier functions: Theory and applications
AD Ames, S Coogan, M Egerstedt, G Notomista, K Sreenath, P Tabuada
2019 18th European control conference (ECC), 3420-3431, 2019
5312019
The robotarium: Globally impactful opportunities, challenges, and lessons learned in remote-access, distributed control of multirobot systems
S Wilson, P Glotfelter, L Wang, S Mayya, G Notomista, M Mote, ...
IEEE Control Systems Magazine 40 (1), 26-44, 2020
912020
A fast airplane boarding strategy using online seat assignment based on passenger classification
G Notomista, M Selvaggio, F Sbrizzi, G Di Maio, S Grazioso, M Botsch
Journal of Air Transport Management 53, 140-149, 2016
552016
Barrier-certified adaptive reinforcement learning with applications to brushbot navigation
M Ohnishi, L Wang, G Notomista, M Egerstedt
IEEE Transactions on robotics 35 (5), 1186-1205, 2019
502019
Robot ecology: Constraint-based control design for long duration autonomy
M Egerstedt, JN Pauli, G Notomista, S Hutchinson
Annual Reviews in Control 46, 1-7, 2018
502018
Enhancing bilateral teleoperation using camera-based online virtual fixtures generation
M Selvaggio, G Notomista, F Chen, B Gao, F Trapani, D Caldwell
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016
322016
Constraint-driven coordinated control of multi-robot systems
G Notomista, M Egerstedt
2019 American Control Conference (ACC), 1990-1996, 2019
302019
Persistification of robotic tasks using control barrier functions
G Notomista, SF Ruf, M Egerstedt
IEEE Robotics and Automation Letters 3 (2), 758-763, 2018
302018
Persistification of robotic tasks
G Notomista, M Egerstedt
IEEE Transactions on Control Systems Technology 29 (2), 756-767, 2020
282020
An optimal task allocation strategy for heterogeneous multi-robot systems
G Notomista, S Mayya, S Hutchinson, M Egerstedt
2019 18th European Control Conference (ECC), 2071-2076, 2019
272019
Adaptive task allocation for heterogeneous multi-robot teams with evolving and unknown robot capabilities
Y Emam, S Mayya, G Notomista, A Bohannon, M Egerstedt
2020 IEEE International Conference on Robotics and Automation (ICRA), 7719-7725, 2020
212020
Decentralized minimum-energy coverage control for time-varying density functions
M Santos, S Mayya, G Notomista, M Egerstedt
2019 International Symposium on Multi-Robot and Multi-Agent Systems (MRS …, 2019
172019
Vision based virtual fixture generation for teleoperated robotic manipulation
M Selvaggio, F Chen, B Gao, G Notomista, F Trapani, D Caldwell
2016 International Conference on Advanced Robotics and Mechatronics (ICARM …, 2016
172016
A machine learning approach for the segmentation of driving maneuvers and its application in autonomous parking
G Notomista, M Botsch
Journal of Artificial Intelligence and Soft Computing Research (JAISCR) 7 (4 …, 2017
162017
Enhancing game-theoretic autonomous car racing using control barrier functions
G Notomista, M Wang, M Schwager, M Egerstedt
2020 IEEE International Conference on Robotics and Automation (ICRA), 5393-5399, 2020
152020
Integral control barrier functions for dynamically defined control laws
AD Ames, G Notomista, Y Wardi, M Egerstedt
IEEE Control Systems Letters 5 (3), 887-892, 2020
142020
A study of a class of vibration-driven robots: Modeling, analysis, control and design of the brushbot
G Notomista, S Mayya, A Mazumdar, S Hutchinson, M Egerstedt
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019
142019
The SlothBot: A novel design for a wire-traversing robot
G Notomista, Y Emam, M Egerstedt
IEEE Robotics and Automation Letters 4 (2), 1993-1998, 2019
132019
Non-uniform robot densities in vibration driven swarms using phase separation theory
S Mayya, G Notomista, D Shell, S Hutchinson, M Egerstedt
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019
122019
Maneuver segmentation for autonomous parking based on ensemble learning
G Notomista, M Botsch
2015 International Joint Conference on Neural Networks (IJCNN), 1-8, 2015
122015
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