scispace - formally typeset
H

Hae-Won Park

Researcher at KAIST

Publications -  52
Citations -  2302

Hae-Won Park is an academic researcher from KAIST. The author has contributed to research in topics: Robot & Computer science. The author has an hindex of 18, co-authored 42 publications receiving 1668 citations. Previous affiliations of Hae-Won Park include Massachusetts Institute of Technology & University of Michigan.

Papers
More filters
Journal ArticleDOI

A Compliant Hybrid Zero Dynamics Controller for Stable, Efficient and Fast Bipedal Walking on MABEL

TL;DR: Five experiments are presented that highlight different aspects of MABEL and the feedback design method, ranging from basic elements such as stable walking and robustness under perturbations, to energy efficiency and a walking speed of 1.5 m s−1 (3.4 mph).
Journal ArticleDOI

High-speed bounding with the MIT Cheetah 2: Control design and experiments

TL;DR: The control framework is shown to provide stable bounding in the hardware, at speeds of up to 6.4 m/s and with a minimum total cost of transport of 0.47, unprecedented accomplishments in terms of efficiency and speed in untethered experimental quadruped machines.
Proceedings ArticleDOI

MABEL, a new robotic bipedal walker and runner

TL;DR: MABEL is a new platform for the study of bipedal locomotion in robots to explore a novel powertrain design that incorporates compliance, with the objective of improving the power efficiency of the robot, both in steady state operation and in responding to disturbances.
Journal ArticleDOI

Embedding active force control within the compliant hybrid zero dynamics to achieve stable, fast running on MABEL

TL;DR: A mathematical formalism for designing running gaits in bipedal robots with compliance is introduced and subsequently validated experimentally on MABEL, a planar biped that contains springs in its drivetrain, resulting in a kneed-biped running record.
Proceedings ArticleDOI

Online planning for autonomous running jumps over obstacles in high-speed quadrupeds

TL;DR: This poster presents a probabilistic model of how the vehicle-to-vehicle communication system, known as M3, will change over time from a stand-alone system to a system that can be integrated into a vehicle’s operating system.