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ORCIDArmin Sadeghi
Person information
- affiliation (PhD 2020): University of Waterloo, Department of Electrical and Computer Engineering, ON, Canada
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Journal Articles
- 2024
[j8]Barry Gilhuly, Armin Sadeghi, Stephen L. Smith:
Estimating Visibility From Alternate Perspectives for Motion Planning With Occlusions. IEEE Robotics Autom. Lett. 9(6): 5583-5590 (2024)- [j7]Tristan Walker
, Barry Gilhuly, Armin Sadeghi, Matt Delbosc, Stephen L. Smith:
Predictive Dead Reckoning for Online Peer-to-Peer Games. IEEE Trans. Games 16(1): 173-184 (2024) - 2023
- [j6]Alexander Botros, Barry Gilhuly, Nils Wilde, Armin Sadeghi, Javier Alonso-Mora, Stephen L. Smith:
Optimizing Task Waiting Times in Dynamic Vehicle Routing. IEEE Robotics Autom. Lett. 8(9): 5520-5527 (2023) - [j5]Armin Sadeghi Yengejeh, Ahmad Bilal Asghar, Stephen L. Smith:
Distributed Multirobot Coverage Control of Nonconvex Environments With Guarantees. IEEE Trans. Control. Netw. Syst. 10(2): 796-808 (2023) - 2022
- [j4]Nils Wilde, Armin Sadeghi, Stephen L. Smith:
Learning Submodular Objectives for Team Environmental Monitoring. IEEE Robotics Autom. Lett. 7(2): 960-967 (2022) - [j3]Florence Tsang, Tristan Walker, Ryan A. MacDonald, Armin Sadeghi, Stephen L. Smith:
LAMP: Learning a Motion Policy to Repeatedly Navigate in an Uncertain Environment. IEEE Trans. Robotics 38(3): 1638-1652 (2022) - 2021
- [j2]Armin Sadeghi Yengejeh, Stephen L. Smith:
Rebalancing Self-Interested Drivers in Ride-Sharing Networks to Improve Customer Wait-Time. IEEE Trans. Control. Netw. Syst. 8(4): 1637-1648 (2021) - 2017
- [j1]Armin Sadeghi, Stephen L. Smith:
Heterogeneous Task Allocation and Sequencing via Decentralized Large Neighborhood Search. Unmanned Syst. 5(2): 79-95 (2017)
Conference and Workshop Papers
- 2023
- [c9]Giovanni D'Urso, Armin Sadeghi, Chanyeol Yoo, Stephen L. Smith, Robert Fitch:
Distributed Multi-Robot Equitable Partitioning Algorithm for Allocation in Warehouse Picking Scenarios. CASE 2023: 1-8 - 2022
- [c8]Barry Gilhuly, Armin Sadeghi, Peyman Yadmellat, Kasra Rezaee, Stephen L. Smith:
Looking for Trouble: Informative Planning for Safe Trajectories with Occlusions. ICRA 2022: 8985-8991 - [c7]Alexander Botros, Armin Sadeghi, Nils Wilde, Javier Alonso-Mora, Stephen L. Smith:
Error-Bounded Approximation of Pareto Fronts in Robot Planning Problems. WAFR 2022: 506-522 - 2021
- [c6]Armin Sadeghi, Ahmad Bilal Asghar, Stephen L. Smith:
Approximation Algorithms for Distributed Multi-robot Coverage in Non-convex Environments. WAFR 2021: 330-346 - 2019
- [c5]Armin Sadeghi, Stephen L. Smith:
On Re-Balancing Self-Interested Agents in Ride-Sourcing Transportation Networks. CDC 2019: 5119-5125 - [c4]Armin Sadeghi, Stephen L. Smith:
Coverage Control for Multiple Event Types with Heterogeneous Robots. ICRA 2019: 3377-3383 - [c3]Armin Sadeghi, Ahmad Bilal Asghar, Stephen L. Smith:
On Minimum Time Multi-Robot Planning with Guarantees on the Total Collected Reward. MRS 2019: 16-22 - 2018
- [c2]Armin Sadeghi, Stephen L. Smith:
Re-Deployment Algorithms for Multiple Service Robots to Optimize Task Response. ICRA 2018: 2356-2363 - 2016
- [c1]Armin Sadeghi, Stephen L. Smith:
On efficient computation of shortest Dubins paths through three consecutive points. CDC 2016: 6010-6015
Informal and Other Publications
- 2024
- [i8]Barry Gilhuly, Armin Sadeghi, Stephen L. Smith:
Estimating Visibility from Alternate Perspectives for Motion Planning with Occlusions. CoRR abs/2404.07781 (2024) - 2023
- [i7]Alexander Botros, Barry Gilhuly, Nils Wilde, Armin Sadeghi, Javier Alonso-Mora, Stephen L. Smith:
Optimizing Task Waiting Times in Dynamic Vehicle Routing. CoRR abs/2307.03984 (2023) - 2022
- [i6]Alexander Botros, Armin Sadeghi, Nils Wilde, Javier Alonso-Mora, Stephen L. Smith:
Error-Bounded Approximation of Pareto Fronts in Robot Planning Problems. CoRR abs/2206.00663 (2022) - 2021
- [i5]Nils Wilde, Armin Sadeghi, Stephen L. Smith:
Learning Submodular Objectives for Team Environmental Monitoring. CoRR abs/2112.08000 (2021) - 2020
- [i4]Armin Sadeghi, Ahmad Bilal Asghar, Stephen L. Smith:
Approximation Algorithms for Distributed Multi-Robot Coverage in Non-Convex Environments. CoRR abs/2005.02471 (2020) - [i3]Florence Tsang, Tristan Walker, Ryan A. MacDonald, Armin Sadeghi, Stephen L. Smith:
LAMP: Learning a Motion Policy to Repeatedly Navigate in an Uncertain Environment. CoRR abs/2012.02271 (2020) - 2019
- [i2]Armin Sadeghi, Stephen L. Smith:
On Re-Balancing Self-Interested Agents in Ride-Sourcing Transportation Networks. CoRR abs/1909.04615 (2019) - 2016
- [i1]Armin Sadeghi, Stephen L. Smith:
On Efficient Computation of Shortest Dubins Paths Through Three Consecutive Points. CoRR abs/1609.06662 (2016)
Coauthor Index
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