Papers
7
Total Citations
24
H-Index
3
About
Weiwei Yu is a pioneering researcher at the intersection of robotics, human-robot interaction, and assistive technologies. Their work centers on three key areas: socially-aware robot navigation, human intention recognition, and bio-signal based control systems. Yu’s most impactful contribution is the development of EmoiPlanner (2024, 5 citations), a groundbreaking framework that enables robots to navigate human-centric environments by understanding both human emotions and social intentions—a critical step toward harmonious human-robot coexistence. Their foundational work on robotic semantic segmentation of supporting surfaces (2015, 6 citations) established new methods for RGB-D image parsing, enabling robots to autonomously perceive and understand indoor environments. Yu has also made notable contributions to assistive robotics, including combining EEG-based brain-computer interfaces with adaptive neuro-fuzzy inference systems for nonholonomic mobile robot control, and generating human-like jumping gaits from sEMG signals for bionic leg control. Their comprehensive review on social awareness navigation (2024) synthesizes the field’s progress, while their optimization research on 6R industrial robots demonstrates versatility across robotic domains. With over 20 citations across their most influential works, Yu continues to shape how robots perceive, navigate, and interact in human-centered spaces.
Research Focus
Key Achievements
Top Papers
- 1Towards Robotic Semantic Segmentation of Supporting Surfaces6 citations · 2015
- 2
- 3A Review on Social Awareness Navigation for Service Robots3 citations · 2024
- 4Nonholonomic mobile system control by combining EEG-based BCI with ANFIS3 citations · 2015
- 5
- 6The Research about Prescribed Workspace for Optimal Design of 6R Robot2 citations · 2014
- 7