5 citations · 5 across the 3 of their papers we have counts for
4 papers
MILD: Tractable Terrain Modeling for Learning Improved Bipedal Locomotion on Deformable Surfaces
Zeren Luo, Jiahui Zhang, Zhe Xu +6
Enabling robots to walk on yielding terrain is vital for applications ranging from disaster response to planetary exploration. While bipedal robots hold immense potential, their lo…
Explosive Output to Enhance Jumping Ability: A Variable Reduction Ratio Design Paradigm for Humanoid Robots Knee Joint
Xiaoshuai Ma, Haoxiang Qi, Qingqing Li +5
Enhancing the explosive power output of the knee joints is critical for improving the agility and obstacle-crossing capabilities of humanoid robots. However, a mismatch between the…
A 3-Step Optimization Framework with Hybrid Models for a Humanoid Robot's Jump Motion
Haoxiang Qi, Zhangguo Yu, Xuechao Chen +5
High dynamic jump motions are challenging tasks for humanoid robots to achieve environment adaptation and obstacle crossing. The trajectory optimization is a practical method to ac…
LIKO: LiDAR, Inertial, and Kinematic Odometry for Bipedal Robots
Qingrui Zhao, Mingyuan Li, Yongliang Shi +8
High-frequency and accurate state estimation is crucial for biped robots. This paper presents a tightly-coupled LiDAR-Inertial-Kinematic Odometry (LIKO) for biped robot state estim…