Armin Sadeghi

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 24

Top Topics

Approximation Algorithms

Planning Problems

Top Venues

IEEE Robotics Autom. Lett.

IEEE Trans. Robotics

Publications

Barry Gilhuly, Armin Sadeghi, Stephen L. Smith
Estimating Visibility From Alternate Perspectives for Motion Planning With Occlusions. IEEE Robotics Autom. Lett. 9 (6) (2024)
Barry Gilhuly, Armin Sadeghi, Stephen L. Smith
Estimating Visibility from Alternate Perspectives for Motion Planning with Occlusions. CoRR (2024)
Alexander Botros, Nils Wilde, Armin Sadeghi, Javier Alonso-Mora, Stephen L. Smith
Regret-Based Sampling of Pareto Fronts for Multiobjective Robot Planning Problems. IEEE Trans. Robotics 40 (2024)
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) (2024)
Alexander Botros, Barry Gilhuly, Nils Wilde, Armin Sadeghi, Javier Alonso-Mora, Stephen L. Smith
Optimizing Task Waiting Times in Dynamic Vehicle Routing. CoRR (2023)
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)
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) (2023)
Alexander Botros, Armin Sadeghi, Nils Wilde, Javier Alonso-Mora, Stephen L. Smith
Error-Bounded Approximation of Pareto Fronts in Robot Planning Problems. CoRR (2022)
Alexander Botros, Armin Sadeghi, Nils Wilde, Javier Alonso-Mora, Stephen L. Smith
Error-Bounded Approximation of Pareto Fronts in Robot Planning Problems. WAFR (2022)
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) (2022)
Nils Wilde, Armin Sadeghi, Stephen L. Smith
Learning Submodular Objectives for Team Environmental Monitoring. IEEE Robotics Autom. Lett. 7 (2) (2022)
Barry Gilhuly, Armin Sadeghi, Peyman Yadmellat, Kasra Rezaee, Stephen L. Smith
Looking for Trouble: Informative Planning for Safe Trajectories with Occlusions. ICRA (2022)
Nils Wilde, Armin Sadeghi, Stephen L. Smith
Learning Submodular Objectives for Team Environmental Monitoring. CoRR (2021)
Armin Sadeghi, Ahmad Bilal Asghar, Stephen L. Smith
Approximation Algorithms for Distributed Multi-robot Coverage in Non-convex Environments. WAFR (2021)
Armin Sadeghi, Ahmad Bilal Asghar, Stephen L. Smith
Approximation Algorithms for Distributed Multi-Robot Coverage in Non-Convex Environments. CoRR (2020)
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 (2020)
Armin Sadeghi, Stephen L. Smith
Coverage Control for Multiple Event Types with Heterogeneous Robots. ICRA (2019)
Armin Sadeghi, Stephen L. Smith
On Re-Balancing Self-Interested Agents in Ride-Sourcing Transportation Networks. CoRR (2019)
Armin Sadeghi, Stephen L. Smith
On Re-Balancing Self-Interested Agents in Ride-Sourcing Transportation Networks. CDC (2019)
Armin Sadeghi, Ahmad Bilal Asghar, Stephen L. Smith
On Minimum Time Multi-Robot Planning with Guarantees on the Total Collected Reward. MRS (2019)
Armin Sadeghi, Stephen L. Smith
Re-Deployment Algorithms for Multiple Service Robots to Optimize Task Response. ICRA (2018)
Armin Sadeghi, Stephen L. Smith
Heterogeneous Task Allocation and Sequencing via Decentralized Large Neighborhood Search. Unmanned Syst. 5 (2) (2017)
Armin Sadeghi, Stephen L. Smith
On efficient computation of shortest Dubins paths through three consecutive points. CDC (2016)
Armin Sadeghi, Stephen L. Smith
On Efficient Computation of Shortest Dubins Paths Through Three Consecutive Points. CoRR (2016)