Zeynab Talebpour

Orcid: 0000-0002-3013-5200

According to our database1, Zeynab Talebpour authored at least 12 papers between 2013 and 2023.

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Bibliography

2023
Deep Functional Predictive Control for Strawberry Cluster Manipulation using Tactile Prediction.
CoRR, 2023

Deep Functional Predictive Control (deep-FPC): Robot Pushing 3-D Cluster Using Tactile Prediction.
IROS, 2023

2021
Harnessing the Power of Smart and Connected Health to Tackle COVID-19: IoT, AI, Robotics, and Blockchain for a Better World.
IEEE Internet Things J., 2021

2019
Adaptive Risk-Based Replanning For Human-Aware Multi-Robot Task Allocation With Local Perception.
IEEE Robotics Autom. Lett., 2019

2018
Risk-Based Human-Aware Multi-Robot Coordination in Dynamic Environments Shared with Humans.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Multi-Robot Coordination in Dynamic Environments Shared with Humans.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017
Market-based coordination in dynamic environments based on the Hoplites framework.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Automatic calibration of ultra wide band tracking systems using a mobile robot: A person localization case-study.
Proceedings of the 2017 International Conference on Indoor Positioning and Indoor Navigation, 2017

Optimal path planning and coverage control for multi-robot persistent coverage in environments with obstacles.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016
Incorporating perception uncertainty in human-aware navigation: A comparative study.
Proceedings of the 25th IEEE International Symposium on Robot and Human Interactive Communication, 2016

2015
On-board human-aware navigation for indoor resource-constrained robots: A case-study with the ranger.
Proceedings of the 2015 IEEE/SICE International Symposium on System Integration, 2015

2013
A comparison of PSO and Reinforcement Learning for multi-robot obstacle avoidance.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013


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