GEneric NEural control for Self-organized emergent behavIor of limbed Systems (GENESIS, Smart motor control software)
Flexible, Soft Object Manipulation
Online Neural Learning and Adaptation
Bio-inspired Robot Structure Design with Hybrid Rigid-Soft Material
Exploiting extrinsic resources for deformable (flexible) object manipulation in a complex shoe rackaging task
For more details, see Dong et al., ICARM 2023
Hybrid learning mechanisms under a neural control network for motor memory and robust locomotion of quadruped robots
For more details, see Zhang et al., Neural networks 2023
Robust and Reusable Self-organized Locomotion of Legged Robots
For more details, see Sun et al., Front. Neural Circuits 2023
Rigid and Soft Tails in Gecko-Inspired Climbing Robots
For more details, see Zang et al., Front. Bioeng. Biotechnol. 2022
Gecko-inspired robot and its sensor-driven neural control for slope climbing with body height adaptation.
For more details, see Shao et al., Bioinspiration and Biomimetics., 2022 [Video]
Gecko-inspired bendable body with lateral undulation for energy-efficient inclined surface climbing of a gecko robots.
For more details, see Haomachai et al., IEEE Robotics and Automation Letters, 2021[Video]
Small-sized and lightweight quadruped robot serving as a generic robot platform for research and education in the fields of robot locomotion, bionic control, and machine learning.
For more details, see Sun et al., Front. Neurorobot., 2020
Exploiting neural dynamics of a reservoir computing-based recurrent neural network and haptic feedback to classify multiple terrains.
For more details, see Borijindakul et al., Lecture Notes in Computer Science,2019
Adaptive neural control for self-organized locomotion and obstacle negotiation of quadruped robots.
For more details, see Sun et al., IEEE International Symposium on Robot and Human Interactive Communication, 2018 [Video1, Video2]