Jianjie Lin, M.Sc.

E-Mail	jianjie.lin@tum.de
Zimmer	03.07.041
Adresse	Boltzmannstr. 3 85748 Garching b. München Gemany

Curriculum Vitae

Jianjie Lin received his Master's degree in Electrical Engineering and Information Technology in 2017 and has been pursuing a Ph.D. degree in Computer Science since then, both from the Technical University of Munich, Germany. In the same year, he joined fortiss, the research institute of the free state of Bavaria focused on software-intensive systems and affiliated with the Technical University of Munich. From 2017 to 2021, he worked in the Robotics and Machine Learning Group at fortiss. Since 2021, he has been working at the TUM/Huawei Intelligent Automotive Solutions Innovation Lab at the Technical University of Munich.

His research interests include robotics, human-robot interaction, cognitive systems, artificial intelligence, 3D computer vision, motion/trajectory planning, grasp planning, and software engineering. The main application areas of his research are service robots, smart factories, industrial robots, and autonomous vehicles.

Courses

Sommersemester 2023

LV-Nr.	Titel	Termine	Dauer	Art	Vortragende/r (Mitwirkende/r)
0000002243	Masterseminar - Human-Robot Interaction (IN2107, IN4718)		2	SE	A. C. Knoll [L] J. Lin F. Pan M. Rickert L. Wen
0000002242	Praktikum - Cognitive Robotics (IN2106, IN0012, IN4350)		6	PR	A. C. Knoll [L] J. Lin F. Pan M. Rickert L. Wen

Online-Profile

Selected Research Projects

VOJEXT - Value of joint experimentation in digital technologies for manufacturing and construction (EU H2020)
Data Backbone - Die Dateninfrastruktur für eine durchgängige Produktion ohne Systembrüche (StMWi Bayern)
MANNHEIM-CeCaS: Central Car Server – Supercomputing für Automotive (BMBF, 2022–2025)

2023

Lin, Jianjie; Rickert, Markus; Knoll, Alois: LieGrasPFormer: Point Transformer-based 6-DOF Grasp Detection with Lie Algebra Grasp Representation. Proceedings of the IEEE International Conference on Automation Science and Engineering (CASE), 2023 mehr… BibTeX Volltext ( DOI ) Volltext (mediaTUM)
Lin, Jianjie; Rickert, Markus; Wen, Long; Hu, Yingbai; Knoll, Alois: Robust Point Cloud Registration with Geometry-based Transformation Invariant Descriptor. Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023 mehr… BibTeX Volltext (mediaTUM)
Lin, Jianjie; Rickert, Markus; Wen, Long; Pan, Fengjunjie; Knoll, Alois: Knowledge-Augmented Anomaly Detection in Small Lot Production for Semantic Temporal Process Data. Proceedings of the IEEE International Conference on Emerging Technologies And Factory Automation (ETFA), 2023 mehr… BibTeX Volltext ( DOI ) Volltext (mediaTUM)
Pan, Fengjunjie; Lin, Jianjie; Rickert, Markus; Knoll, Alois: Automated Design Space Exploration for Resource Allocation in Software-Defined Vehicles. Proceedings of the IEEE Intelligent Vehicles Symposium (IV), 2023 mehr… BibTeX Volltext ( DOI ) Volltext (mediaTUM)
Wen, Long; Rickert, Markus; Pan, Fengjunjie; Lin, Jianjie; Knoll, Alois: Bare-Metal vs. Hypervisors and Containers: Performance Evaluation of Virtualization Technologies for Software-Defined Vehicles. Proceedings of the IEEE Intelligent Vehicles Symposium (IV), 2023 mehr… BibTeX Volltext ( DOI ) Volltext (mediaTUM)

2022

Cao, Hu; Chen, Guang; Li, Zhijun; Feng, Qian; Lin, Jianjie; Knoll, Alois: Efficient Grasp Detection Network With Gaussian-Based Grasp Representation for Robotic Manipulation. IEEE/ASME Transactions on Mechatronics, 2022, 1-11 mehr… BibTeX Volltext ( DOI )
Pan, Fengjunjie; Lin, Jianjie; Rickert, Markus; Knoll, Alois: Resource Allocation in Software-Defined Vehicles: ILP Model Formulation and Solver Evaluation. Proceedings of the IEEE International Conference on Intelligent Transportation Systems (ITSC), 2022 mehr… BibTeX Volltext ( DOI ) Volltext (mediaTUM)

2021

Cao, Hu; Chen, Guang; Li, Zhijun; Lin, Jianjie; Knoll, Alois: Residual Squeeze-and-Excitation Network with Multi-scale Spatial Pyramid Module for Fast Robotic Grasping Detection. 2021 IEEE International Conference on Robotics and Automation (ICRA), IEEE, 2021 mehr… BibTeX Volltext ( DOI ) Volltext (mediaTUM)
Lin, Jianjie; Rickert, Markus; Knoll, Alois: Grasp Planning for Flexible Production with Small Lot Sizes using Gaussian Process Implicit Surfaces and Bayesian Optimization. Proceedings of the IEEE International Conference on Automation Science and Engineering, 2021 mehr… BibTeX Volltext ( DOI ) Volltext (mediaTUM)
Lin, Jianjie; Rickert, Markus; Knoll, Alois: Parameterizable and Jerk-Limited Trajectories with Blending for Robot Motion Planning and Spherical Cartesian Waypoints. Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2021 mehr… BibTeX Volltext ( DOI ) Volltext (mediaTUM)
Lin, Jianjie; Rickert, Markus; Knoll, Alois: Deep Hierarchical Rotation Invariance Learning with Exact Geometry Feature Representation for Point Cloud Classification. Proceedings of the International Conference on Robotics and Automation (ICRA), 2021 mehr… BibTeX Volltext ( DOI ) Volltext (mediaTUM)
Lin, Jianjie; Rickert, Markus; Perzylo, Alexander; Knoll, Alois: PCTMA-Net: Point Cloud Transformer with Morphing Atlas-based Point Generation Network for Dense Point Cloud Completion. Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021 mehr… BibTeX Volltext ( DOI ) Volltext (mediaTUM)

2020

Lin, Jianjie; Rickert, Markus; Knoll, Alois: 6D Pose Estimation for Flexible Production with Small Lot Sizes based on CAD Models using Gaussian Process Implicit Surfaces. Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020 mehr… BibTeX Volltext ( DOI ) Volltext (mediaTUM)

2018

Lin, Jianjie; Somani, Nikhil; Hu, Biao; Rickert, Markus; Knoll, Alois: An Efficient and Time-Optimal Trajectory Generation Approach for Waypoints under Kinematic Constraints and Error Bounds. Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018 mehr… BibTeX Volltext ( DOI ) Volltext (mediaTUM)