Ze Zhang

Postdoc at Computer and Network Systems

Working on machine learning, control, and computer vision. The current topic is motion prediction and trajectory planning for mobile robots.

Source: orcid.org
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Showing 14 publications

2026

Combining High Level Scheduling and Low Level Control to Manage Fleets of Mobile Robots

Sabino Francesco Roselli, Ze Zhang, Knut Åkesson
2026 IEEE SICE International Symposium on System Integration Sii 2026, p. 1143-1148
Paper in proceeding
2026

Proactive Local-Minima-Free Robot Navigation: Blending Motion Prediction with Safe Control

Yifan Xue, Ze Zhang, Knut Åkesson et al
IEEE Robotics and Automation Letters. Vol. 11 (4), p. 5096-5103
Journal article
2026

Rewarding Change beyond State: Directional VLM Rewards for Sample-Efficient Robot Reinforcement Learning *

Linus Lundgren, Wenhao Lu, Zhitao Liang et al
2026 IEEE SICE International Symposium on System Integration Sii 2026, p. 722-728
Paper in proceeding
2026

Collision-Free Navigation of Mobile Robots via Quadtree-Based Model Predictive Control

Osama Al Sheikh Ali, Sotiris Koutsoftas, Ze Zhang et al
2026 IEEE SICE International Symposium on System Integration Sii 2026, p. 553-558
Paper in proceeding
2025

Future-Oriented Navigation: Dynamic Obstacle Avoidance with One-Shot Energy-Based Multimodal Motion Prediction

Ze Zhang, Georg Hess, Junjie Hu et al
IEEE Robotics and Automation Letters. Vol. 10 (8), p. 8043-8050
Journal article
2025

Gradient Field-Based Dynamic Window Approach for Collision Avoidance in Complex Environments

Ze Zhang, Yifan Xue, Nadia Figueroa et al
IEEE International Conference on Intelligent Robots and Systems, p. 19669-19674
Paper in proceeding
2024

Bird’s-Eye-View Trajectory Planning of Multiple Robots using Continuous Deep Reinforcement Learning and Model Predictive Control

Kristian Ceder, Ze Zhang, Adam Burman et al
IEEE International Conference on Intelligent Robots and Systems, p. 8002-8008
Paper in proceeding
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
2023

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
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
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
2021

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
2021

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

6 publications exist
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