J
Joohyung Kim
Researcher at University of Illinois at Urbana–Champaign
Publications - 81
Citations - 1476
Joohyung Kim is an academic researcher from University of Illinois at Urbana–Champaign. The author has contributed to research in topics: Robot & Humanoid robot. The author has an hindex of 19, co-authored 75 publications receiving 1197 citations. Previous affiliations of Joohyung Kim include Disney Research & Samsung.
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Journal ArticleDOI
Effectiveness of transforaminal epidural steroid injection by using a preganglionic approach: a prospective randomized controlled study.
TL;DR: TFESI for lumbosacral radiculopathy with a preganglionics approach is more effective than TFESI with a ganglionic approach at short-term follow-up.
Proceedings ArticleDOI
No falls, no resets: Reliable humanoid behavior in the DARPA robotics challenge
Christopher G. Atkeson,Benzun Pious Wisely Babu,Nandan Banerjee,Dmitry Berenson,Christopher Peter Bove,Xiongyi Cui,Mathew DeDonato,Ruixiang Du,Siyuan Feng,Perry Franklin,Michael A. Gennert,Joshua P. Graff,Peng He,Aaron Jaeger,Joohyung Kim,Kevin Knoedler,Lening Li,Chenggang Liu,Xianchao Long,Taskin Padir,Felipe Polido,G. G. Tighe,X Xinjilefu +22 more
TL;DR: Team WPI-CMU was the only team in the DRC Finals that attempted all tasks, scored points, did not require physical human intervention (a reset), and did not fall in the two missions during the two days of tests.
Proceedings ArticleDOI
Optimization based controller design and implementation for the Atlas robot in the DARPA Robotics Challenge Finals
TL;DR: The design and hardware implementation of the proposed walking and manipulation controllers that are based on a cascade of online optimizations are described, which have been implemented on the Atlas robot, a full size humanoid robot built by Boston Dynamics, and used in the DARPA Robotics Challenge Finals.
Proceedings ArticleDOI
Robust dynamic walking using online foot step optimization
TL;DR: The new controller consists of three hierarchies: a center of mass (CoM) trajectory planner that follows a sequence of desired foot steps, a receding-horizon controller that optimizes the next foot placement to minimize future CoM tracking errors, and an inverse dynamics based full body controller that generates instantaneous joint commands to track these motions while obeying physical constraints.
Proceedings ArticleDOI
3D printed soft skin for safe human-robot interaction
TL;DR: Experimental results from collision tests show that this module significantly reduces the impact forces due to collision, and using the measured pressure information from the module, the robotic system to which these modules are attached is capable of very gentle physical interaction with soft objects.