Neural Information Processing Systems / CRC Press / Prentice-Hall Inc. / Robot Locomotion Group / Morimoto / /
Country
United States / /
Currency
pence / / /
Facility
Prentice Hall / Massachusetts Institute of Technology / University of Michigan / /
IndustryTerm
nonlinear hybrid systems / periodic solution / machinery / convergent solution / mechanical systems / dynamical systems / linear periodic systems / feasible solution / binary search / binary search approach / hybrid systems / /
Organization
National Science Foundation / University of Michigan / Massachusetts Institute of Technology / Computer Science and Artificial Intelligence Lab / World Congress / /
Person
Katie Byl / Anton S. Shiriaev / Hongkai Dai / Leonid B. Freidovich / Mark M. Tobenkin / Kemin Zhou / Christine Chevallereau / Christopher G Atkeson / Michael Levashov / Jun Nakanishi / Benjamin Morris / Grizzle / Uwe Mettin / Garth Zeglin / Alexandre Megretski / Gordon Cheng / Ki Ki / Jovan Popovic / Yeuhi Abe / Jos F. Sturm / Jun Morimoto / John C. Doyle / Christopher Atkeson / Fumiya Iida / Ian R. Manchester / Jun Ho Choi / Carlos E de Souza / Eric R. Westervelt / Russ Tedrake / Pierre Basar / /
Position
LQR controller / guard / bipedal walker / walker / same LQR controller / tracking controller / planar bipedal walker / limit cycle walker / initial linear controller / H∞ controller / phase tracking controller / linear controller / fixed linear controller / LQR controller / the one with the largest γ / Robust1 controller / controller / suboptimal controller / /
Product
Pentax K-x Digital Camera / T10 / /
ProgrammingLanguage
R / K / /
ProvinceOrState
Michigan / Florida / Massachusetts / /
PublishedMedium
The International Journal / Computer Graphics / Journal of Theoretical Biology / /
L2 -Gain Optimization for Robust Bipedal Walking on Unknown Terrain Hongkai Dai and Russ Tedrake Abstract— In this paper we seek to quantify and explicitly optimize the robustness of a control system for a robot walkin