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ORCIDGolnaz Habibi
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2020 – today
- 2024
[i13]Daniel Vargas, Ethan Haque, Matthew Carroll, Daniel Pérez, Tyler Roman, Phong Nguyen, Golnaz Habibi:
Design and Implementation of Smart Infrastructures and Connected Vehicles in A Mini-city Platform. CoRR abs/2408.04195 (2024)- 2023
- [c22]Maisha Maliha, Golnaz Habibi, Mohammed Atiquzzaman:
A Survey on Congestion Control and Scheduling for Multipath TCP: Machine Learning vs Classical Approaches. FedCSIS 2023: 49-61 - [i12]Maisha Maliha, Golnaz Habibi, Mohammed Atiquzzaman:
A Survey on Congestion Control and Scheduling for Multipath TCP: Machine Learning vs Classical Approaches. CoRR abs/2309.09372 (2023) - 2022
- [j4]Sharan Raja, Golnaz Habibi
, Jonathan P. How:
Communication-Aware Consensus-Based Decentralized Task Allocation in Communication Constrained Environments. IEEE Access 10: 19753-19767 (2022) - [i11]Boling Yang, Golnaz Habibi, Patrick E. Lancaster, Byron Boots, Joshua R. Smith:
Motivating Physical Activity via Competitive Human-Robot Interaction. CoRR abs/2202.07068 (2022) - [i10]Luca Carlone, Kasra Khosoussi, Vasileios Tzoumas, Golnaz Habibi, Markus Ryll, Rajat Talak, Jingnan Shi, Pasquale Antonante:
Visual Navigation for Autonomous Vehicles: An Open-source Hands-on Robotics Course at MIT. CoRR abs/2206.00777 (2022) - 2021
- [j3]Michael Everett, Golnaz Habibi, Chuangchuang Sun, Jonathan P. How:
Reachability Analysis of Neural Feedback Loops. IEEE Access 9: 163938-163953 (2021) - [j2]Michael Everett, Golnaz Habibi, Jonathan P. How:
Robustness Analysis of Neural Networks via Efficient Partitioning With Applications in Control Systems. IEEE Control. Syst. Lett. 5(6): 2114-2119 (2021) - [j1]Golnaz Habibi, Jonathan P. How:
Human Trajectory Prediction Using Similarity-Based Multi-Model Fusion. IEEE Robotics Autom. Lett. 6(2): 715-722 (2021) - [c21]Michael Everett, Golnaz Habibi, Jonathan P. How:
Robustness Analysis of Neural Networks via Efficient Partitioning with Applications in Control Systems. ACC 2021: 888-893 - [c20]Boling Yang, Golnaz Habibi, Patrick Lancaster, Byron Boots, Joshua R. Smith:
Motivating Physical Activity via Competitive Human-Robot Interaction. CoRL 2021: 839-849 - [c19]Boling Yang, Xiangyu Xie, Golnaz Habibi, Joshua R. Smith:
Competitive Physical Human-Robot Game Play. HRI (Companion) 2021: 242-246 - [c18]Dong-Ki Kim, Miao Liu, Matthew Riemer, Chuangchuang Sun, Marwa Abdulhai, Golnaz Habibi, Sebastian Lopez-Cot, Gerald Tesauro, Jonathan P. How:
A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning. ICML 2021: 5541-5550 - [c17]Michael Everett, Golnaz Habibi, Jonathan P. How:
Efficient Reachability Analysis of Closed-Loop Systems with Neural Network Controllers. ICRA 2021: 4384-4390 - [i9]Michael Everett, Golnaz Habibi, Jonathan P. How:
Efficient Reachability Analysis of Closed-Loop Systems with Neural Network Controllers. CoRR abs/2101.01815 (2021) - [i8]Michael Everett, Golnaz Habibi, Chuangchuang Sun, Jonathan P. How:
Reachability Analysis of Neural Feedback Loops. CoRR abs/2108.04140 (2021) - 2020
- [c16]Dong-Ki Kim, Miao Liu, Shayegan Omidshafiei, Sebastian Lopez-Cot, Matthew Riemer, Golnaz Habibi, Gerald Tesauro, Sami Mourad, Murray Campbell, Jonathan P. How:
Learning Hierarchical Teaching Policies for Cooperative Agents. AAMAS 2020: 620-628 - [c15]Golnaz Habibi, Nikita Jaipuria, Jonathan P. How:
SILA: An Incremental Learning Approach for Pedestrian Trajectory Prediction. CVPR Workshops 2020: 4411-4421 - [i7]Michael Everett, Golnaz Habibi, Jonathan P. How:
Robustness Analysis of Neural Networks via Efficient Partitioning: Theory and Applications in Control Systems. CoRR abs/2010.00540 (2020) - [i6]Dong-Ki Kim, Miao Liu, Matthew Riemer, Chuangchuang Sun, Marwa Abdulhai, Golnaz Habibi, Sebastian Lopez-Cot, Gerald Tesauro, Jonathan P. How:
A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning. CoRR abs/2011.00382 (2020)
2010 – 2019
- 2019
- [i5]Dong-Ki Kim, Miao Liu, Shayegan Omidshafiei, Sebastian Lopez-Cot, Matthew Riemer, Golnaz Habibi, Gerald Tesauro, Sami Mourad, Murray Campbell, Jonathan P. How:
Learning Hierarchical Teaching in Cooperative Multiagent Reinforcement Learning. CoRR abs/1903.03216 (2019) - [i4]Golnaz Habibi, Nikita Jaipuria, Jonathan P. How:
Incremental Learning of Motion Primitives for Pedestrian Trajectory Prediction at Intersections. CoRR abs/1911.09476 (2019) - 2018
- [c14]Macheng Shen, Golnaz Habibi, Jonathan P. How:
Transferable Pedestrian Motion Prediction Models at Intersections. IROS 2018: 4547-4553 - [c13]Nikita Jaipuria, Golnaz Habibi, Jonathan P. How:
Learning in the Curbside Coordinate Frame for a Transferable Pedestrian Trajectory Prediction Model. ITSC 2018: 3125-3131 - [i3]Macheng Shen, Golnaz Habibi, Jonathan P. How:
Transferable Pedestrian Motion Prediction Models at Intersections. CoRR abs/1804.00495 (2018) - [i2]Nikita Jaipuria, Golnaz Habibi, Jonathan P. How:
A Transferable Pedestrian Motion Prediction Model for Intersections with Different Geometries. CoRR abs/1806.09444 (2018) - [i1]Golnaz Habibi, Nikita Jaipuria, Jonathan P. How:
Context-Aware Pedestrian Motion Prediction In Urban Intersections. CoRR abs/1806.09453 (2018) - 2017
- [c12]Matthew Giamou, Yaroslav Babich, Golnaz Habibi, Jonathan P. How:
Stable laser interest point selection for place recognition in a forest. IROS 2017: 4290-4297 - 2016
- [c11]Golnaz Habibi, Sándor P. Fekete, Zachary K. Kingston, James McLurkin:
Distributed Object Characterization with Local Sensing by a Multi-robot System. DARS 2016: 205-218 - 2015
- [c10]Golnaz Habibi, Zachary K. Kingston, Zijian Wang, Mac Schwager, James McLurkin:
Pipelined Consensus for Global State Estimation in Multi-Agent Systems. AAMAS 2015: 1315-1323 - [c9]Golnaz Habibi, Zachary K. Kingston, William Xie, Mathew Jellins, James McLurkin:
Distributed centroid estimation and motion controllers for collective transport by multi-robot systems. ICRA 2015: 1282-1288 - 2014
- [c8]Golnaz Habibi, William Xie, Mathew Jellins, James McLurkin:
Distributed Path Planning for Collective Transport Using Homogeneous Multi-robot Systems. DARS 2014: 151-164 - [c7]James McLurkin, Adam McMullen, Nick Robbins, Golnaz Habibi, Aaron T. Becker, Alvin Chou, Hao Li, Meagan John, Nnena Okeke, Joshua Rykowski, Sunny Kim, William Xie, Taylor Vaughn, Yu Zhou, Jennifer Shen, Nelson Chen, Quillan Kaseman, Lindsay Langford, Jeremy Hunt, Amanda Boone, Kevin Koch:
A robot system design for low-cost multi-robot manipulation. IROS 2014: 912-918 - 2013
- [c6]Aaron T. Becker, Erik D. Demaine, Sándor P. Fekete, Golnaz Habibi, James McLurkin:
Reconfiguring Massive Particle Swarms with Limited, Global Control. ALGOSENSORS 2013: 51-66 - [c5]Michael Rubenstein, Adrian Cabrera, Justin Werfel, Golnaz Habibi, James McLurkin, Radhika Nagpal:
Collective transport of complex objects by simple robots: theory and experiments. AAMAS 2013: 47-54 - [c4]Aaron T. Becker, Golnaz Habibi, Justin Werfel, Michael Rubenstein, James McLurkin:
Massive uniform manipulation: Controlling large populations of simple robots with a common input signal. IROS 2013: 520-527 - [c3]Golnaz Habibi, Lauren Schmidt, Mathew Jellins, James McLurkin:
K-Redundant Trees for Safe and Efficient Multi-robot Recovery in Complex Environments. ISRR 2013: 149-165 - 2012
- [c2]Golnaz Habibi, James McLurkin:
Maximum-Leaf Spanning Trees for Efficient Multi-Robot Recovery with Connectivity Guarantees. DARS 2012: 275-289
2000 – 2009
- 2007
- [c1]Ellips Masehian, Golnaz Habibi:
Motion planning and control of mobile robot using Linear Matrix Inequalities (LMIs). IROS 2007: 4277-4282
Coauthor Index
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last updated on 2024-09-14 23:51 CEST by the dblp team
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