2 citations · 4 across the 4 of their papers we have counts for
4 papers
A Model Predictive Capture Point Control Framework for Robust Humanoid Balancing via Ankle, Hip, and Stepping Strategies
Myeong-Ju Kim, Daegyu Lim, Gyeongjae Park +2
The robust balancing capability of humanoids is essential for mobility in real environments. Many studies focus on implementing human-inspired ankle, hip, and stepping strategies t…
NODE IK: Solving Inverse Kinematics with Neural Ordinary Differential Equations for Path Planning
Suhan Park, Mathew Schwartz, Jaeheung Park
This paper proposes a novel inverse kinematics (IK) solver of articulated robotic systems for path planning. IK is a traditional but essential problem for robot manipulation. Recen…
Vision-based Autonomous Driving for Unstructured Environments Using Imitation Learning
Joonwoo Ahn, Minsoo Kim, Jaeheung Park
Unstructured environments are difficult for autonomous driving. This is because various unknown obstacles are lied in drivable space without lanes, and its width and curvature chan…
Continuous-Curvature Target Tree Algorithm for Path Planning in Complex Parking Environments
Minsoo Kim, Joonwoo Ahn, Jaeheung Park
Rapidly-exploring random tree (RRT) has been applied for autonomous parking due to quickly solving high-dimensional motion planning and easily reflecting constraints. However, plan…