Dianchun Bai

About

Dianchun Bai’s research bridges two transformative frontiers in robotics: bio-inspired mechanical design and brain-computer interfaces for assistive technology. His most influential work centers on **coupled tendon-driven joints**, where he pioneered modular 2- and 3-degree-of-freedom systems that replicate human-like motion in anthropomorphic robots. By analyzing motor-joint routing matrices, Bai demonstrated how torque reallocation via tendon coupling can enhance joint output—a contribution that underpins safer, more dexterous robotic arms (32 citations). In parallel, Bai has made significant strides in **hybrid brain-computer interaction**, developing an EEG-EOG system that fuses electroencephalography with electrooculography to enable multi-command prosthesis control (16 citations). His work also extends to intelligent wheelchair navigation using eye movement signals and multi-robot systems for assisted rising transfer, addressing critical challenges in human-robot interaction for elderly care and rehabilitation. With over 90 total citations across these domains, Bai’s research is distinguished by its practical focus on safety, durability, and intuitive control—from a 7-DoF tendon-driven arm designed for high torque with low weight, to behavior-based control methods for artistic robots. His contributions are shaping the next generation of human-friendly robots that are both mechanically elegant and cognitively responsive.

Research Focus

Key Achievements

Top Papers

1. 1
   Modularization of 2- and 3-DoF Coupled Tendon-Driven Joints

   32 citations · 2020
2. 2
   Hybrid EEG-EOG system for intelligent prosthesis control based on common spatial pattern algorithm

   16 citations · 2016
3. 3
   Design of a 2 Motor 2 Degrees-of-Freedom Coupled Tendon-driven Joint Module

   12 citations · 2018
4. 4
   A New Directional Intention Identification Approach for Intelligent Wheelchair Based on Fusion of EOG Signal and Eye Movement Signal

   7 citations · 2018
5. 5
   Quantitative Estimation of Differentiated Mental Fatigue between Self-Rising Transfer and Multiple Welfare Robots-Assisted Rising Transfer

   7 citations · 2020
6. 6
   Trajectory Tracking Control of Omni-directional Wheeled Robot for Lower Limbs Rehabilitative Training

   5 citations · 2011
7. 7
   Behavior-based control of brush drawing robot

   5 citations · 2011
8. 8
   Design of mechanical structure and tracking control system for lower limbs rehabilitative training robot

   4 citations · 2009
9. 9
   Assistive standing of omni-direetional mobile rehabilitation training robot based on support vector regression algorithm

   3 citations · 2016
10. 10
    Structure Design of a Tendon-driven Robotic Arm Considering Safety and Durability

    3 citations · 2018

Key Collaborators

Contact & Links