Ze Zhang

Doctoral Student at Automation

Ze Zhang is a PhD student in the Automation unit, focusing his research on machine learning, computer vision and control. Ze is involved in a project related to construct a more intelligent automatic plant, based on object detection and motion prediction through machine learning methods including deep learning. The main study is on environment recognition and autonomous system. This project is running in collaboration with AB Volvo.

Source: chalmers.se
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Showing 6 publications

2023

Collision-Free Trajectory Planning of Mobile Robots by Integrating Deep Reinforcement Learning and Model Predictive Control

Ze Zhang, Yao Cai, Kristian Ceder et al
IEEE International Conference on Automation Science and Engineering. Vol. 2023-August
Paper in proceeding
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2023
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Prescient Collision-Free Navigation of Mobile Robots with Iterative Multimodal Motion Prediction of Dynamic Obstacles

Ze Zhang, Hadi Hajieghrary, Emmanuel Dean et al
IEEE Robotics and Automation Letters. Vol. 8 (9), p. 5488-5495
Journal article
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2022

Centralized versus Distributed Nonlinear Model Predictive Control for Online Robot Fleet Trajectory Planning

Filip Bertilsson, Martin Gordon, Johan Hansson et al
IEEE International Conference on Automation Science and Engineering. Vol. 2022-August, p. 701-706
Paper in proceeding
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2022

Multimodal Motion Prediction Based on Adaptive and Swarm Sampling Loss Functions for Reactive Mobile Robots

Ze Zhang, Emmanuel Dean, Yiannis Karayiannidis et al
IEEE International Conference on Automation Science and Engineering. Vol. 2022-August, p. 1110-1115
Paper in proceeding
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2021
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Motion Prediction Based on Multiple Futures for Dynamic Obstacle Avoidance of Mobile Robots

Ze Zhang, Emmanuel Dean, Yiannis Karayiannidis et al
IEEE International Conference on Automation Science and Engineering. Vol. 2021-August, p. 475-481
Paper in proceeding
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2021
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Trajectory Generation for Mobile Robots in a Dynamic Environment using Nonlinear Model Predictive Control

Jonas Berlin, Georg Hess, Anton Karlsson et al
IEEE International Conference on Automation Science and Engineering. Vol. 2021-August, p. 942-947
Paper in proceeding
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Showing 1 research projects

2019–2021

Project ViMCoR

Knut Åkesson Automation
Yiannis Karayiannidis Mechatronics
Torsten Sattler Imaging and Image Analysis
Martin Fabian Automation
Ze Zhang Automation
Sabino Francesco Roselli Automation
Volvo Group

5 publications exist
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