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We are interested in the application of dynamical systems theory to the invention and construction of intelligent machines and systems, with a particular focus on biologically inspired robotics. Many of us have worked in robotics with emphasis on dynamical dexterity and the management of kinetic energy in designing machines capable of performing useful work on their bodies and environments. Others of us have worked on more abstract problems of control and coordination with the object of developing new methods of design and analysis toward the construction of such machines.
ICRA 2013
May 9th, 2013
Two papers were presented at ICRA 2013, the first by Avik De on dynamic sensor management, and the second by Aaron Johnson on
leaping with RHex for which Aaron was a finalist for Best Student Paper!
The Mechanical Animal
December 3rd, 2012
Temple University biologist Tonia Hsieh explains how she uses the unlikely combination of lizards and high speed cameras to advance the field of robotics. The video features some gorgeous shots of XRL.
Penn Y Prize
September 24th, 2012
Kod*lab participated in the Y-Prize idea generation event. The goal of this competition is to use existing robotics technology developed at Penn in creative, new, and unexpected applications. At the event, XRL was shown off with other robots from GRASP by being used as a mobile quadrotor dock.
Robotic Tails at CLAWAR 2012
July 25th, 2012
A new tail for XRL was introduced at CLAWAR 2012, and the paper was a finalist for best student paper! This paper was part of a special session hosted by Kod*lab entitled Throwing Your Weight Around: Using Appendage Inertia.
Robotic prototypes pursued in our lab have focused on both level ground and vertical locomotion in complex outdoor terrain.
X-RHex is a biologically inspired running robot designed for robust operation in complex, natural, outdoor terrain. The first RHex to feature a modular payload system.
XRL is a lighter version of X-RHex designed to be more agile than previous RHexs, XRL also features a modular payload system.
Canid is a quadrupedal robot with an actively controlled flexible back meant for high speed running.

Mike Choi (2012, University of Pennsylvania)

Pouria Sanjari (2012, University of Pennsylvania)

Karl Bayer (2012, Columbia University)

Joey (2012, University of Pennsylvania)

Jorge (2012, University of Pennsylvania)

Jenny (2012, University of Pennsylvania)
Copyright Kodlab, 2013