Yongbai Liu

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Research Focus

Key Achievements

Top Papers

1. 1
   Noise-tolerant zeroing neurodynamic algorithm for upper limb motion intention-based human–robot interaction control in non-ideal conditions

   27 citations · 2022
2. 2
   A Novel RBF Neural Network-Based Iterative Learning Control For Lower Limb Rehabilitation Robot With Strong Robustness

   17 citations · 2019
3. 3
   A Novel Estimation Approach of sEMG-based Joint Movements via RBF Neural Network

   14 citations · 2019
4. 4
   RBF Neural Network-Sliding Model Control Approach for Lower Limb Rehabilitation Robot Based on Gait Trajectories of SEMG Estimation

   7 citations · 2019
5. 5
   An artificial systems, computational experiments and parallel execution‐based surface electromyogram‐driven anti‐disturbance zeroing neurodynamic strategy for upper limb human‐robot interaction control

   6 citations · 2023
6. 6
   sEMG-based continuous motion estimation of upper limb using a novel noise-tolerant zeroing neurodynamic model combined with LSTM network

   5 citations · 2022
7. 7
   A Gradient Neural Network for online Solving the Time-varying Inverse Kinematics Problem of Four-wheel Mobile Robotic Arm

   3 citations · 2021
8. 8
   Upper Limb Multi-Joint Angle Estimation Based on Multichannel sEMG Signals Using Elman Neural Network

   2 citations · 2022

Key Collaborators