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Technical University of Munich
Technical University of Munich

Jianjie Lin, M.Sc.

E-Mail jianjie.lin@tum.de
Room 03.07.041
Address

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.

Online Profiles

Projects

  • VOJEXT - Value of joint experimentation in digital technologies for manufacturing and construction (EU H2020)
  • Data Backbone - The data infrastructure for continuous production without system interruptions (Bavarian StMWi)

Publications

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 more… BibTeX Full text ( DOI ) Full text (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 more… BibTeX Full text (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 more… BibTeX Full text ( DOI ) Full text (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 more… BibTeX Full text ( DOI ) Full text (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 more… BibTeX Full text ( DOI ) Full text (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 more… BibTeX Full text ( 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 more… BibTeX Full text ( DOI ) Full text (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 more… BibTeX Full text ( DOI ) Full text (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 more… BibTeX Full text ( DOI ) Full text (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 more… BibTeX Full text ( DOI ) Full text (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 more… BibTeX Full text ( DOI ) Full text (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 more… BibTeX Full text ( DOI ) Full text (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 more… BibTeX Full text ( DOI ) Full text (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 more… BibTeX Full text ( DOI ) Full text (mediaTUM)
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