Junning Huang

Junning joined the Intelligent Autonomous Systems Group at TU Darmstadt as a PhD researcher in November 2020. He works with Davide Tateo and Jan Peters within IAS and its research group Safe and Reliable Robot Learning.

Before joining IAS, Junning received his bachelor‘s degree in Microelectronics, as well as his master’s degree in Computer Science from the Guangdong University of Technology. During his studies, he focused on two topics in reinforcement learning (RL): efficient exploration and applications in autonomous driving. His current research interest lays in three folds: 1. State Estimation / System Identification for Non-smooth Phenomenon including: Friction, Contacts, Deformation; 2. Compliant / Passive Control for Contact Rich Environment; 3. Trajectory Optimization for Contact Rich Environment; with applications on robots.

Publications

1. •       Bib
     Siebenborn, M.; Belousov, B.; Huang, J.; Peters, J. (2022). How Crucial is Transformer in Decision Transformer?, Foundation Models for Decision Making Workshop at Neural Information Processing Systems.
2. •       Bib
     Huang, J.; Tateo, D.; Liu, P.; Peters, J. (2025). Adaptive Control based Friction Estimation for Tracking Control of Robot Manipulators, IEEE Robotics and Automation Letters, and IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 10, pp.2454-2461.
3. •       Bib
     Aditya, D.; Huang, J.; Bohlinger, N.; Kicki, P.; Walas, Peters, J.; Luperto, M.; Tateo, D. (2025). Robust Localization, Mapping, and Navigation for Quadruped Robots, European Conference on Mobile Robots (ECMR).