Jianwei Zhang´s research interests include multimodal informatin processing; cognitive sensor fusion; fast learning algorithms; neuro-fuzzy models for sensory-motor control tasks; reinforcement learning of assembly sequences; natural human-robot interaction; self-valuing learning of robot grasping and in-hand manipulation; multimodal learning architecture; experience-based robot learning; coded structured light for 3D modelling; best view algorithm for active robot vision; bio-inspired multimodal control, modular reconfigurable robots; surgical assistant robots; mobile manipulation service robots, etc. In these areas he has published about 500 journal and conference papers, technical reports and four books. He holds 40+ patents on intelligent components and systems.

Jianwei Zhang is the coordinator of the DFG/NSFC Transregional Collaborative Research Centre SFB/TRR169 “Crossmodal Learning: Adaptivity, Prediction and Interaction” and several EU robotics projects, including the RACE (Robustness by Autonomous Competence Enhancement) Project which is the first one applying high-level learning, planning and reasoning AI methods in service robots. He has received multiple best paper awards. He is the General Chairs of IEEE MFI 2012, IEEE/RSJ IROS 2015, and the International Symposium of Human-Centered Robotics and Systems 2018.